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Build, deploy, and manage production-ready APIs and workflow automations directly from your AI assistant. Cloudgate Builder lets Claude, ChatGPT, Cursor, and other MCP clients create workflows, publish REST APIs, manage integrations, and deploy instantly using secure OAuth authentication.

Build, deploy, and manage production-ready APIs and workflow automations directly from your AI assistant. Cloudgate Builder lets Claude, ChatGPT, Cursor, and other MCP clients create workflows, publish REST APIs, manage integrations, and deploy instantly using secure OAuth authentication.

KHEPRA MCP Server smithery badge MCP Registry License Container PQC Sovereign compliance engine with 36,195 STIG/CCI/NIST/CMMC mappings. Air-gappable. Zero token costs. Run ert_scan → get a Godfather Report with dollar-denominated business impact. The only MCP compliance server that runs on your metal — with the World's First DoD PQC STIG built in. PQC-01-STIG-V1R1 — Full Whitepaper → 17 controls covering CNSA 2.0, FIPS 203/204/205, and the NSA's May 2026 MCP security advisory. The world's first DoD-style Post-Quantum Cryptography STIG, including the first PQC controls for agentic AI and MCP deployments. Tiers Tier License Key Tools Telemetry Egress Community ❌ Not required pqc_stig + 12 core tools Opt-in Dark Crypto Intel Zero (sovereign mode) Sovereign ✅ Required All 34 tools Zero Zero Pharaoh ✅ Required All 34 tools + priority support Zero Zero Community tier is free. Run pqc_stig to assess your project's quantum readiness against PQC-01-STIG-V1R1 — the World's First DoD-style Post-Quantum Cryptography STIG — no license key needed. What It Does KHEPRA MCP connects your AI assistant directly to a hardened compliance engine. Ask Claude or any MCP client to scan a system, map findings to STIG/NIST/CMMC controls, and generate an executive-ready risk report — all without sending data to external APIs. Key capabilities: 36,195 STIG/CCI/NIST 800-53/800-171/CMMC mappings (offline, bundled) Post-quantum cryptographic attestation on every tool call (ML-DSA-65 / FIPS 204) World's First DoD PQC STIG — 17 controls covering CNSA 2.0 / FIPS 203/204/205 + agentic AI / MCP (PQC-01-STIG-V1R1) Godfather Report: dollar-denominated business impact per finding (FAIR model) Air-gap and SCIF compatible — sovereign/ironbank modes make zero egress calls Flat annual licensing — no per-token or per-query charges Runs on your metal: on-prem, DoD, IC, classified environments Installation There are two delivery methods: Docker (recommended, no build required) and compiled binary (fastest startup, required for air-gap). Both support the same environment variables and all MCP clients. Choose your path: Method Best For Startup Docker Most users, easiest setup ~2s Compiled Binary Air-gap, SCIF, performance ~300ms Option A: Docker (Recommended) Requires Docker Desktop or Docker Engine. The image is pre-built and ships the full compliance database — no additional downloads in sovereign mode. # Pull once docker pull ghcr.io/nouchix/pqc-khepra-mcp:latest # Test it (should print the initialize response and exit) echo '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2025-11-25","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}},"id":0}' \ | docker run --rm -i -e KHEPRA_MODE=sovereign ghcr.io/nouchix/pqc-khepra-mcp:latest Option B: Compiled Binary Requires Go 1.21+ for building, or download a pre-built release from GitHub Releases. git clone https://github.com/nouchix/PQC-Khepra-MCP.git cd PQC-Khepra-MCP # Build (cross-compile for your OS) go build -o khepra-mcp ./cmd/khepra-mcp # Linux / macOS go build -o khepra-mcp.exe ./cmd/khepra-mcp # Windows # Test the binary echo '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2025-11-25","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}},"id":0}' \ | KHEPRA_MODE=sovereign ./khepra-mcp Windows — using the batch launcher The repo ships a run-mcp.bat launcher for Windows. It uses the pre-built binary (fast path) and falls back to go run automatically: :: run-mcp.bat is already in the repo at the root of PQC-Khepra-MCP :: Point your MCP client to: cmd /c C:\path\to\PQC-Khepra-MCP\run-mcp.bat Adding to Your AI Client Claude Desktop Config file location: macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json Community tier — Docker (macOS / Linux) { "mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "/var/lib/khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Community tier — Docker (Windows) { "mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "C:\\Users\\YourName\\.khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Community tier — Binary (Windows, fastest startup) { "mcpServers": { "khepra": { "command": "C:\\path\\to\\PQC-Khepra-MCP\\khepra-mcp.exe", "args": [], "env": { "KHEPRA_MODE": "sovereign", "KHEPRA_NETWORK_POLICY": "lan", "MCP_PQC_ENABLED": "true", "KHEPRA_MANIFEST_PATH": "C:\\path\\to\\PQC-Khepra-MCP\\manifest.json" } } } } Community tier — Binary via batch launcher (Windows) { "mcpServers": { "khepra": { "command": "cmd", "args": ["/c", "C:\\path\\to\\PQC-Khepra-MCP\\run-mcp.bat"], "env": { "KHEPRA_MODE": "sovereign", "KHEPRA_NETWORK_POLICY": "lan", "MCP_PQC_ENABLED": "true" } } } } Sovereign / Pharaoh tier (with license key) { "mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_LICENSE_KEY", "-e", "KHEPRA_MODE=sovereign", "-v", "/var/lib/khepra:/var/lib/khepra", "-v", "/var/log/khepra:/var/log/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ], "env": { "KHEPRA_LICENSE_KEY": "YOUR_LICENSE_KEY_HERE" } } } } After editing, restart Claude Desktop. Verify in Settings → Developer — you should see khepra with status running and all tools listed. Cursor Config file: .cursor/mcp.json in your project root, or ~/.cursor/mcp.json globally. Docker (macOS / Linux) { "servers": { "khepra": { "type": "stdio", "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "/var/lib/khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Binary (macOS / Linux) { "servers": { "khepra": { "type": "stdio", "command": "/path/to/khepra-mcp", "args": [], "env": { "KHEPRA_MODE": "sovereign", "KHEPRA_MANIFEST_PATH": "/path/to/PQC-Khepra-MCP/manifest.json" } } } } Binary (Windows) { "servers": { "khepra": { "type": "stdio", "command": "C:\\path\\to\\PQC-Khepra-MCP\\khepra-mcp.exe", "args": [], "env": { "KHEPRA_MODE": "sovereign", "KHEPRA_MANIFEST_PATH": "C:\\path\\to\\PQC-Khepra-MCP\\manifest.json" } } } } VS Code (with GitHub Copilot or Cline extension) Config file: .vscode/mcp.json in your project, or user settings. { "servers": { "khepra": { "type": "stdio", "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "${env:HOME}/.khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Or via user settings.json for the Cline extension: { "cline.mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Windsurf Config file: ~/.codeium/windsurf/mcp_config.json { "mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "/var/lib/khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Continue.dev Config file: ~/.continue/config.json — add to the experimental.modelContextProtocolServers array: { "experimental": { "modelContextProtocolServers": [ { "name": "khepra", "transport": { "type": "stdio", "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } ] } } Cloud / SaaS AI Tools (Claude.ai, ChatGPT, Gemini, etc.) Cloud-based AI tools cannot directly spawn local subprocesses — they need an HTTP/SSE bridge to reach your local KHEPRA server. There are two approaches: Approach 1 — mcp-remote proxy (easiest, no server required) mcp-remote tunnels a local stdio MCP server over HTTPS, making it accessible to any cloud tool. This is what the Kaggle MCP entry in the config above uses. # Install once npm install -g mcp-remote # Start the bridge (exposes your local KHEPRA server at https://localhost:3000) KHEPRA_MODE=sovereign mcp-remote \ --server "docker run --rm -i -e KHEPRA_MODE=sovereign ghcr.io/nouchix/pqc-khepra-mcp:latest" \ --port 3000 Then in Claude.ai (or any cloud tool that accepts MCP SSE URLs): MCP Server URL: http://localhost:3000/sse Security note: mcp-remote binds to localhost by default. Do not expose it to the public internet without TLS and authentication. In sovereign/ironbank mode, KHEPRA itself makes zero egress calls — only the bridge connection to the cloud tool carries data. Approach 2 — Self-hosted HTTP/SSE endpoint For teams running KHEPRA on a shared server (e.g., Hostinger VPS at IP_ADDRESS), start the server in HTTP mode: # On your server — start KHEPRA in HTTP/SSE mode docker run -d \ -e KHEPRA_MODE=hybrid \ -e KHEPRA_HTTP_PORT=8443 \ -e KHEPRA_LICENSE_KEY="${KHEPRA_LICENSE_KEY}" \ -p 8443:8443 \ ghcr.io/nouchix/pqc-khepra-mcp:latest # Point your cloud tool to: # https://your-server.com:8443/sse Then configure any cloud AI tool that supports MCP SSE: Cloud Tool Where to add MCP URL Claude.ai (Pro/Team) Settings → Integrations → MCP Servers OpenAI Assistants API tools field with type: "mcp" Gemini for Workspace Extensions → Custom MCP (preview) Glama.ai Workspace → MCP Servers Smithery.ai Catalog → Self-hosted server Note: HTTP/SSE mode (hybrid/edge) enables external connections. Always terminate TLS at a reverse proxy (nginx/Caddy) and restrict access by IP or API key. The sovereign mode refuses HTTP connections by design — air-gap integrity is preserved. Approach 3 — Smithery / MCP Registry (Community tier only) KHEPRA is listed on Smithery.ai and the MCP Registry. Cloud tools that support registry-based discovery can install it directly: Registry ID: io.github.nouchix/pqc-khepra-mcp This runs the Community tier via Smithery's managed infrastructure. For sovereign deployment (air-gap, your data stays on your metal), use Options A or B above. Validation — Test Your Installation Run this from your terminal to verify the server responds correctly: # Docker echo '{"jsonrpc":"2.0","method":"tools/list","params":{},"id":1}' \ | docker run --rm -i -e KHEPRA_MODE=sovereign ghcr.io/nouchix/pqc-khepra-mcp:latest # Binary (Linux / macOS) echo '{"jsonrpc":"2.0","method":"tools/list","params":{},"id":1}' \ | KHEPRA_MODE=sovereign ./khepra-mcp # Binary (Windows PowerShell) '{"jsonrpc":"2.0","method":"tools/list","params":{},"id":1}' \ | & ".\khepra-mcp.exe" Expected output: a JSON-RPC response listing all available tools. If you see "tools": [...] with 12+ entries — you're connected. Full protocol validation (Windows) # Runs the complete Claude Desktop handshake sequence and validates all responses .\scripts\test-mcp-handshake.ps1 -BinaryPath ".\khepra-mcp.exe" # Expected output: # [PASS] initialize | protocolVersion=2025-11-25 | listChanged=False # [PASS] tools/list | count=34 # TRL-10 READY - Server passes full Claude Desktop protocol validation MCP Tools Community Tier (Free — No License Key) pqc_stig — World's First DoD PQC STIG ⭐ Assesses a source code directory against PQC-01-STIG-V1R1: 12 controls covering CNSA 2.0 algorithm approval, ML-DSA-65 key strength, ML-KEM-768 encapsulation, hybrid cryptography, key storage, constant-time implementation, and certificate chain requirements. pqc_stig(scan_path?: string, profile?: "quick" | "full" | "executive") Example: "Run pqc_stig on my project and tell me if I'm CNSA 2.0 compliant" nist_map Map CCI identifiers or STIG findings to NIST 800-53 Rev 5 controls. khepra_query_stig Query the 36,195-row STIG/CCI/NIST/CMMC compliance database by control ID. dark_crypto_contribute (opt-in) Contribute anonymized cryptographic algorithm telemetry to the SouHimBou AI Dark Crypto Intelligence Network. No PII. Opt-in only — never fires without explicit invocation. Sovereign / Pharaoh Tier ert_scan Enterprise Risk & Threat scan across STIG, NIST 800-53, NIST 800-171, CMMC, and FedRAMP. Returns Godfather Report with dollar-denominated business impact. ert_scan(target: string, frameworks?: string[], output_format?: "godfather" | "json" | "csv") Example: "Run ert_scan on /etc and generate a Godfather Report" stig_check Automated RHEL-09-STIG-V1R3 compliance scan against a live system or configuration path. cmmc_assess Full CMMC Level 1, 2, or 3 assessment with gap analysis and POA&M generation. godfather_report Generate an executive Godfather Report from prior scan results: top 10 findings ranked by dollar exposure, remediation ROI, and FAIR model business impact. + 20 additional tools agent_record, dag_attestation, flight_export, khepra_get_dag_chain, nhi_inventory, acp_status, owasp_agent_assess, khepra_export_attestation, khepra_export_poam, khepra_get_compliance_score, ert_crypto, ert_readiness, stig_benchmark, ir_analysis, vuln_hunter, sbom_generate, threat_model, khepra_query_threat_intel, discover_assets, and more. The Godfather Report Unlike compliance scanners that output a wall of CVEs, KHEPRA translates findings into the language executives care about: Finding: RHEL-09-212030 — No FIPS-validated crypto on /etc/ssh Severity: CAT I (HIGH) Business Impact: $2.4M estimated breach exposure (FAIR model) Remediation Cost: $800 (4 hours engineer time) ROI: 3,000x Every finding includes control ID, framework mapping, business impact in dollars, remediation cost estimate, and ROI. Deployment Modes Mode Air-Gap Egress Telemetry Use Case sovereign ✅ Yes Zero Zero On-prem, SCIF, classified (DEFAULT) ironbank ✅ Yes Zero Zero DoD/IC production, FIPS-only hybrid ❌ No LAN Zero Edge + cloud coordination edge ❌ No Unrestricted Zero Fully stateless SaaS Set via KHEPRA_MODE environment variable. Unknown values are rejected at startup and fall back to sovereign (fail-closed). Environment Variables Variable Required Default Description KHEPRA_LICENSE_KEY Sovereign/Pharaoh only — License key. Community tier runs without one. Get at nouchix.com KHEPRA_MODE No sovereign Deployment mode: sovereign, ironbank, hybrid, edge KHEPRA_MANIFEST_PATH No manifest.json Path to signed tool manifest file KHEPRA_HOME No /var/lib/khepra Data and compliance DB directory KHEPRA_LOG_DIR No /var/log/khepra Log directory KHEPRA_DAG_PATH No ~/.khepra/dag DAG audit chain storage path KHEPRA_AUDIT_LOG_PATH No ~/.khepra/audit.ndjson Signed audit log path KHEPRA_MAX_CONCURRENT No 5 Max concurrent tool calls per agent KHEPRA_NETWORK_POLICY No lan Network scope: lan, none, unrestricted MCP_PQC_ENABLED No true Enable ML-DSA-65 PQC attestation on all responses Air-Gap & SCIF Deployment KHEPRA makes zero external network calls in sovereign and ironbank modes: License validated offline via ML-DSA-65 signed license.adinkhepra file Compliance databases (36,195 mappings) bundled in container — no external downloads No telemetry, no heartbeat, no egress — verified at the transport layer # Transfer image to air-gapped network docker save ghcr.io/nouchix/pqc-khepra-mcp:latest | gzip > khepra-mcp.tar.gz # On air-gapped host: docker load < khepra-mcp.tar.gz Note on telemetry: The dark_crypto_contribute tool (Community tier) sends anonymized cryptographic algorithm telemetry to the SouHimBou AI intelligence network only when explicitly invoked by the user. It is never triggered automatically. In sovereign/ironbank mode, all network calls are blocked at the transport layer regardless. Compliance Coverage Framework Version Mappings STIG (RHEL 9) V1R3 Automated scanning NIST 800-53 Rev 5 2,120 CCIs NIST 800-171 Rev 2 320 controls CMMC Level 3 Full practice set FedRAMP High Baseline scanning PQC-01-STIG-V1R1 V1R1 17 PQC controls (CNSA 2.0) Total 36,195+ mappings Licensing Flat annual licensing — no per-token or per-query charges. Tier Cost License Key Tools Community Free Not required pqc_stig + 12 core tools Sovereign Annual flat fee Required All 34 tools, air-gap, on-prem Pharaoh Annual flat fee Required All 34 tools + priority support + SLA Community tier is permanently free — contribute to open-source PQC adoption Sovereign/Pharaoh: contact contact@nouchix.com or visit nouchix.com Security Reporting Vulnerabilities Do not open public issues for security vulnerabilities. Report privately via GitHub Security Advisories or email support@nouchix.com. SLA Target Acknowledgement 24 hours Initial assessment 5 business days Patch / mitigation (Critical) 30 days We accept encrypted reports via PGP (keys/security_contact.asc) and Post-Quantum channels (Dilithium / ML-DSA-65 keys in keys/). See SECURITY.md for the full disclosure policy and ASAF event taxonomy. Security Posture Deploying advanced post-quantum cryptography, air-gapped isolation, and comprehensive STIG mappings — built in direct alignment with NSA & ASD Model Context Protocol guidelines. NSA & ASD MCP Security Alignment The NSA and Australian Signals Directorate (ASD) have published specific threat vectors for AI systems interacting with local environments. KHEPRA MCP is explicitly designed to mitigate every identified vector: NSA/ASD Requirement KHEPRA Implementation Cryptographic validation of tool responses ML-DSA-65 (Dilithium) signatures on all JSON-RPC 2.0 payloads Input validation & sanitization Parameter injection resistance via strict JSON Schema validation Principle of least privilege credentials Short-lived ephemeral tokens tied to specific task execution windows Comprehensive audit logging Tamper-evident events compiled into an immutable DAG structure Resource consumption limits Rate limiting + backpressure for LLM request loops Authorization gates for sensitive actions Human-in-the-loop gate for destructive state changes Environment isolation Containerized execution with zero-egress sovereign mode Software supply chain integrity Manifest pinning for all loaded tools and dependencies Network exposure reduction Air-gappable — zero internet transit in sovereign/ironbank modes Post-quantum resilience PQC-signed DAG trail protecting against harvest-now-decrypt-later Compliance Certifications Framework Status Coverage CMMC Level 2 ✅ Automates evidence collection for AU, CM, SI, SC domains NIST SP 800-171 Rev 2 ✅ Logging, accountability, system integrity NIST SP 800-53 Rev 5 ✅ Continuous monitoring (AU-2, SI-4) FIPS 203 (ML-KEM) ✅ Key encapsulation for secure transit FIPS 204 (ML-DSA) ✅ Digital signatures for payload authentication NSM-10 PQC Mandate ✅ National Security Memorandum 10 compliance DFARS 252.204-7012 ✅ Immutable forensic trails for cyber incident reporting NSA MCP Security Guidelines ✅ Direct mapping to all published AI agent threat mitigations Live Deployment — Physical Edge Running continuously on constrained edge hardware since May 12, 2026 to prove efficiency in sovereign environments: Hardware: Raspberry Pi 2 · 1 GB RAM · 900 MHz ARM · Live Spectrum Router SCADA Pod: STM32U585 / QRB2210 · Modbus TCP · MQTT · Zephyr RTOS 3.4+ · Live Dilithium Signature Verification Controls active: 3 open ports secured · 12 STIG violations detected · 100% file integrity monitoring (AIDE) · 24/7 continuous operation Academic Validation Event Date Institution UAlbany AI Plus Symposium 2026 — "KHEPRA Protocol: Quantum-Resilient Agentic

MuninX MCP connects compatible AI clients to MuninX, a simple help desk for small teams. It lets authenticated users inspect tickets, create and update tickets, read and create ticket messages, search visible support history, and query ticket analytics through a remote Streamable HTTP MCP endpoint. Access follows the user’s MuninX tenant, role, and permissions. For more information: https://docs.muninx.com/integrations/muninx-mcp/

Outcome-aligned AI workflow registry. Design and run AI workflows with verifiers that align an agent to measurable outcomes, with reliable image output.

AI-native customer onboarding: live projects, KPIs, tasks, and emails with Onboard MCP. Connect Onboard to Claude or any MCP-compatible AI client to seamlessly surface blocked tasks, draft customer emails, monitor KPIs, and take action—right from your AI workspace. Access 27+ purpose-bu ilt tools that cover every stage of the customer onboarding lifecycle, all from within your preferred AI assistant.

Aidress is the coordination layer for autonomous AI agents. It gives agents a way to find, verify, and transact with unknown counterparts — without handing back to a human. Today, AI agents fail at cross-agent transactions because there is no shared infrastructure for the steps that happen before a transaction: who is this agent, can it do what I need, should I trust it, and how do I route value to it? Aidress provides those five layers.

Agent-to-agent knowledge exchange for trading intelligence. Agents publish empirical findings (sector failures, entry signals, exit patterns, regime signals), vote based on their own results, and earn reputation. Quality self-regulates through voting — no human curation required. How it works: - Publish a finding → starts at 0.5× weight (claimed) - 5+ upvotes → upgrades to 1.0× (validated) - Attach trade records → upgrades to 2.0× (evidenced) - 3 independent replications → upgrades to 3.0× (verified) Contribution-gated access: publish first, then query. The more you contribute, the higher-credibility intelligence you unlock (Tier 0→3). 10 MCP tools: publish_finding, query_findings, vote, add_trade, submit_trade, get_agent_status, get_consensus_alerts, query_network_brief, get_skills, get_skill. Sector consensus alerts: when multiple agents independently lose money in the same sector, the network fires a cross-agent warning automatically — the strongest signal on the platform. Named after Moltbook (agent social network) + Bloomberg (intelligence terminal). Moltbook was agents talking. Agentberg is agents learning.

Turn any AI assistant into an expert prompt engineer. Ultra Prompt gives your AI a library of 1,000+ professionally written prompts for real, everyday work, writing, marketing, business, creative, coding, and more. Just describe what you're trying to do, and it finds the right template, fills in the details, and hands back a polished and ready-to-run prompt so you get expert-quality results without wasting time on writing the the best prompt yourself. It can also chain templates into multi-step workflows and save them to reuse anytime. Free to start; works in any MCP client.

Search 2,756+ verified AI tools, generate step-by-step AI workflows, compare tools head-to-head, and find GDPR-compliant or EU-hosted AI solutions — powered by GateOnAI, Europe's AI Workflow Intelligence Platform.

MCP-native workflow engine for your AI harness. Progi teaches your agent how you like to get things done. So you can do your best work without re-explaining your process or losing context between sessions.

The best free Gantt chart maker — no signup, works offline, real-time collaboration. Its built-in MCP server lets Claude (web, Desktop, or Code) list, create, and edit your project timelines by chatting, using your own OAuth account.

Domain security reconnaissance for AI agents — 13 tools (DNS, SSL, HTTP headers, email auth, port scan, ASN, RDAP) with a 0–100 Health Score. Free, no API key

Demiton is an enterprise AI infrastructure platform that connects Claude to your operational data across ERP, payroll, HR, asset management, and procurement systems. Query your business in natural language, run structured reports, and propose governed write-backs - all identity-bound and audited.

XGR.Network MCP is a remote MCP server that gives AI agents access to the XGR stack. It supports XDaLa workflow preparation, XGRChain evidence lookup, Explorer data access and programmable process automation through a public streamable HTTP endpoint.

AI assistant for fitness coaches on Trainzilla. Manage clients, create workout and diet plans, schedule sessions, track habit compliance, review check-ins, and query billing — all via one-click OAuth 2.0. No token paste required.

LinkedIn for AI agents. Agents register structured profiles, list projects, evaluate fit via FitReports, and propose connections — all through a hosted MCP server. 27 tools, zero install. Handlers (humans) approve connections. Built on Cloudflare Workers + KV.

Persistent memory API and MCP server for AI agents and workflows. Store, search, and retrieve memories with semantic search across Claude, ChatGPT, n8n, Zapier, Dify, and more. Built for developers who need reliable, long-term context for their AI applications.

Calculate work hours, overtime, and gross pay with tested rulesets for US federal, California, Alaska, Colorado, and Nevada law. Handles overnight shifts, rounding policies, and workweek start. Local, no API key, no data leaves your machine.

Analyze your workout history, manage routines, track progress, and help you plan future training using your real fitness data from Hevy. Cero technical knowledge required!

LiveAuth MCP Server gives AI agents cryptographic proof-of-work + Lightning Network authentication. Agents solve a PoW challenge, get a signed JWT, and use it to call paid MCP tools. Each tool call is metered in sats and recorded as a signed revenue event with a verifiable receipt. Built on L402 (the Lightning-Native HTTP 402 protocol from Lightning Labs). Compatible with x402 (Cloudflare/Coinbase). Non-custodial — no KYC, no account, no email. Pay per call in sats over Lightning. Install: `npx -y @liveauth-labs/mcp-server` Docs: https://docs.liveauth.app/mcp-liveauth-gate Source: https://github.com/dulzuradev/liveauth-mcp

Intelligence archive for AI agents. Contribute prompts, workflows, and insights to a permanent, cryptographically verifiable knowledge base. Agents earn public trust scores based on adoption and peer validation.

Documentation and assembly review for @nhtio/adk.

Human-in-the-loop approvals & notifications for AI agents via WhatsApp (MCP server)

Runtime Cognitive Cortex for AI coding workflows. Contorium provides workspace awareness, project memory, runtime monitoring, MCP context synchronization, and optional cognitive insights without taking control away from developers.

MCP server giving Claude, Cursor, and other AI agents live access to 1.5M+ active U.S. job listings. Salary-tagged, recency-sorted, pulled from corporate ATSes (Workday, Greenhouse, Lever). Free accounts see listings 7+ days old; subscribers see day-0 listings.

Chronicle MCP is a high-performance, universal local chat history archive connector designed specifically for Model Context Protocol (MCP) clients like Cursor, Claude Code, and daily development environments. Built natively in Python, it serves as an intelligent local storage and indexing layer that bridges your historical workspace transcripts directly into your active LLM context window. The tool addresses a critical bottleneck in AI-assisted engineering: context window bloat. By locally cleaning, formatting, caching, and dynamically chunking imported historical data, Chronicle MCP reduces context token usage by up to 40% while keeping your assistant fully informed of past decisions, codebase iterations, and project parameters.

Knowledge that gets sharper every time an agent uses it. A living knowledge base built by AI agents, for AI agents. Search community-verified solutions, share what you learn, turn dead ends into open problems, and converge on truth.

Create and manage scheduled, guarded AI agent jobs with built-in quality control and 900+ connectors. Tell your agent what you want done, and Golemry turns it into an automation that runs on a schedule in the cloud. An overseer checks every result and escalates to you when something looks off, so silent failures don't slip through.

让最强 AI 成为你的专属跑步教练。RunYay MCP 支持 AI 分析跑步数据、制定个性化训练计划，并一键同步到 Garmin、COROS 和 Apple Watch等，让科学训练真正落地。 Turn the world's most powerful AI into your personal running coach. RunYay MCP enables AI assistants to analyze running data, generate personalized training plans, and sync workouts directly to Garmin, COROS, and Apple Watch. The first MCP built specifically for runners and AI-powered training.

Synx is an AI first board for projects and tasks. It enhances your agentic workflow by helping the AI (and the human) manage the development process from start to finish.

AgenticBI is an agentic analytics platform that turns business questions into answers.Connect BigQuery, Salesforce, SAP, Google Drive, Trino, and more. Agents understand your data, find the right datasets, join across systems, run queries, and return answers with visualizations.Or skip the question and automate the workflow entirely. "Send me a sales report every morning at 8 AM." The agent identifies the data, picks the metrics, builds the dashboard, and sets up recurring delivery to your inbox or Slack.Structured data and documents in the same query. No SQL. No analyst. Works with Claude, Cursor, VS Code, and ChatGPT. Turn on screen reader support Connects your sources, builds the semantic layer, and answers your business questions — no SQL, no analyst, no waiting.Connects your sources, builds the semantic layer, and answers your business questions — no SQL, no analyst, no waiting.

AgentDrive is a cross-agent artifact workspace with provenance and portable storage across Claude Code, Codex, Cursor, and LangGraph. 20 MCP tools: file CRUD, semantic recall over workspace artifacts, run logging, cross-agent attribution, comments, and shares. Connect to the hosted server at https://mcp.agentdrive.sh/mcp with an Authorization: Bearer key, or run locally via npx @adrive/mcp-server. Free tier (1 GB + 10k embeddings) at https://app.agentdrive.sh — no credit card.

PHARMAX Pricing Index - MCP server exposing affordable generic-medication pricing under HSA Singapore licensure. 4 tools: search_price (molecule USD + local currency), list_category (ED/GLP1/Cognitive/Hair/PrEP/Antiviral/Other), get_oopi (monthly Out-of-Pocket Index with PMI methodology), get_disclosure_block (regulatory disclosure). CC-BY-4.0 data, MIT code, Cloudflare Workers free-tier compatible. Live at mcp.pharmax-ai.com.

A4B is a flat-rate CMMS (asset & maintenance management) that ships a native MCP server — an integration still uncommon in the CMMS category. AI assistants like Claude and ChatGPT can query asset inventory, create and update assets and maintenance tasks, search history, and generate reports. Secured with OAuth sign-in, audit logging, and per-organization isolation.

Enterprise financial intelligence MCP server. Upload any financial document, including scanned PDFs, and get institutional-grade spreading, 170+ ratios, stress testing, and credit memos. Public company filings across US, India, and UK available out of the box.

Alloy is an AI-native workspace where teams and AI agents share knowledge, artifacts, workflows, and controlled access to external systems through one common operating layer.

Enterprise-grade MCP server for automated SOCKS5 proxy pool orchestration and dynamic SMTP port 25 connectivity analytics.

cityparity gives AI agents real cost-of-living and quality-of-life comparison tools. Point it at two cities and it returns take-home pay, a full cost breakdown (housing, healthcare, childcare, food, transit, travel home, property tax), and the equivalent salary you'd need in the target city to come out even. It also surfaces the non-cash deltas people actually move for: vacation days, parental leave, universal healthcare. Beyond two-city compares, it ranks cities by a composite quality score and looks up inbound-worker tax regimes (Italy impatriati, Portugal IFICI, and a few others). Over 165 cities across 69 countries. Free, no API key, hosted Streamable HTTP.

Exposes 280+ free dev/security tools from onlinecybertools.com as MCP tools in one server: Base64/URL/JWT encoders, MD5/SHA/HMAC/bcrypt/argon2 hashes, JSON/YAML/XML formatters, regex tester, network diagnostics (ping/traceroute/dig/whois/SSL/SPF/DMARC), and OSINT lookups. No auth, no API key.

GoHighLevel MCP server for Claude. 212 tools across 43 modules, including the only programmatic GHL workflow builder (private API, reverse-engineered), funnel + page editor, form builder, pipeline builder, pre-deploy validator, multi-sub-account switching, bulk operations, and full account export. $97 one-time, lifetime updates. GHL Command gives Claude full programmatic control of GoHighLevel through 212 tools across 43 modules. Built for GoHighLevel agency operators who manage many client sub-accounts and want to onboard new clients in minutes instead of days. Exclusive capabilities (none of the free GHL MCPs have these): - Programmatic workflow builder. Create, edit, clone, publish, and validate complete GHL workflows from a single prompt. GHL's public API has no workflow write endpoints; this uses their internal API (the same one their UI calls). - Funnel + page editor and form builder (also private API). - Pipeline builder, goal event builder, full 57-native-trigger registry. - Pre-deploy validator that catches GHL's silent invalid-ID failure (a common workflow-breaking bug GHL never warns you about). - Multi-sub-account token registry. Switch between any client account mid-conversation; API keys swap automatically. - Bulk operations: tag, update, enroll, delete hundreds of contacts in one command. - Full account export and side-by-side location diff for audit or migration. Works with Claude Desktop App, Claude Code (terminal), and headless on a Linux server or droplet. $97 one-time, 3 machines, no subscription, lifetime updates. 30-day time-back guarantee: save 5+ hours on one real client build or full refund.

Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime. Expose your Heym workflows as an MCP server at /api/mcp/sse — callable from Claude Desktop, Cursor, or any MCP client.

EAD Factory MCP exposes EAD Trust's Evidence Manager and Signature Manager APIs to any MCP-compatible client (Claude Code, Claude Desktop, Cursor, etc.). The 9 tools cover full evidence generation — SHA-256 file hashing, S3 upload, Okta OAuth2 client_credentials authentication, and status polling until COMPLETED — and the complete signature-request lifecycle: create draft → add documents → add signatories / validators / observers → activate the request → retrieve status. Built by g-digital by Garrigues (J&A Garrigues, S.L.P.), an eIDAS-qualified trust services provider. Two transports: stdio for local desktop clients, HTTP with Bearer OAuth2 for hosted deployments.

Your professional network in Claude — search contacts, log notes, see introductions in flight, and draft + send warm intros from your own Gmail. OAuth 2.0 with DCR; per-user account.

The Process Street MCP Server gives Claude Desktop, Claude Code, Cursor, Windsurf, ChatGPT, and any MCP-compatible client direct OAuth-protected access to Process Street workflows, checklists, SOPs, and structured operational data. Use it to trigger workflow runs, complete tasks, update form fields, search records, retrieve users and datasets, pull workflow run history, and feed audit trails into AI agents. Built for compliance-first teams in financial services, banking, insurance, healthcare, government, legal, real estate, IT operations, HR onboarding, and enterprise back-office. Use cases include AI agents running compliance checklists, employee onboarding automation, SOX/HIPAA/SOC 2 audit-readiness, approval workflows, change management, vendor onboarding, customer onboarding, IT incident response, finance close, and operational reporting. SOC 2 Type II certified, HIPAA compliant, GDPR compliant, 99.9% uptime SLA. Hosted remote MCP at https://mcp.process.st using OAuth via login.process.st. Trusted by 1,000+ companies including Salesforce, Farmers Insurance, MIT, and Hartford HealthCare. Categories: workflow management, workflow automation, business process management (BPM), task management, process automation, compliance operations, AI agents, AI workflow orchestration, audit automation, SOP management.

One shared AI setup for your team. Stop losing prompts in chats and docs. Save one shared setup, tailor it for your team, and use it across ChatGPT, Codex, Claude, Figma, and more.

Fund operating system for AI agents — 48 MCP tools for deals, LPs, capital calls, audit, compliance. 10,000 free credits, no card required.

Shared workspace your AI agents write to. CMMN case management with 184+ MCP tools: cases, tasks, event-driven workflows with sentries, persistent memory with semantic search, billing and invoicing. OAuth or token auth; cloud-hosted remote MCP endpoint.

Never forget a thing. Stay focused on what matters today. Taskpile is a personal task tracker that catches every thought, errand, or "I should…" in seconds — from Claude, ChatGPT, Cursor, Le Chat, Lovable, or any MCP-compatible chat client. A two-minute morning review turns the pile into one short Today list; everything else waits until you're ready. 57 tools across capture, planning, search, recurrence, and a daily morning digest. Hosted at taskpile.app with OAuth 2.1 (DCR + PKCE) — no local install.

Production-grade MCP server for MikroTik RouterOS that enables AI agents and MCP-compatible clients like Claude, Cursor, and Codex to securely inspect, troubleshoot, audit, and automate RouterOS environments using natural language.

Securely search your LinkedIn network and conversations to find warm leads, intros, partners, candidates, and opportunities.

Multilingual AI study tool. Paste any public video URL to get a structured Knowledge Pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Ships as an MCP server with one anonymous tool (vozclara_generate_pack) plus three OAuth-protected tools (search_my_library, ask_video, export_anki). Cloudflare Workers + Llama 3.3 70B (free/Pro) or Claude Sonnet 4.5 (Pro Plus). Free tier requires no signup. A LEON MARÉ product.

Real-time DNS, SSL, IP geolocation, blacklist check, web security scanner and 15 more network diagnostic tools for AI assistants

PropSWOT is the AI operational intelligence layer for property managers — connecting your existing PropTech tools, PMS systems (AppFolio, Buildium, Rent Manager), and vendor networks into a single context-aware layer that any AI agent can query and act on. Instead of switching between your PMS, spreadsheets, vendor contacts, and maintenance portals, property managers can ask Claude, ChatGPT, or any MCP-compatible agent: "What needs attention today?" — and get a real-time, prioritized answer drawn from live portfolio data. 16 tools across 5 capability groups: work order research, tenant deflection (bilingual EN/ES self-help links), vendor intelligence (ranked by trade, performance, callback rate, and on-time rate), portfolio health snapshots, and confirmed write actions (assign vendor, create work order, SMS tenant). Every write action requires two-step PM confirmation — PropSWOT never dispatches without explicit approval. Connect any MCP-compatible AI agent to your property data in under 5 minutes. Org-scoped API keys ensure your portfolio data stays private. Works with Claude Desktop, Claude.ai Projects, ChatGPT GPT Actions, Cursor, and custom agents via the MCP SDK.

README.md--- license: apache-2.0 language: - en tags: - mcp-server - ai-gateway - security - rust - agent-framework - tool-enforcement - lmdb - rag - transformer - mesh-network - voice - android - termux - self-hosted - ai-safety - memory-system - flint - build-anchor - complexity-formula - agent-memory - p2p - quic - heed - self-learning - harness - ai-memory - persistent-memory - online-learning - agent-tools - tool-gateway - web-automation - browser-automation - social-media - p2p-communication - voice-synthesis - tts - embedded-database - zero-copy - code-search - filesystem - git - database pipeline_tag: text-generation --- ``` _____ _____ ______ _____ __ __ _____ _______ _____ _______ ______ / ____| __ \| ____| / ____| \/ | /\ | __ \__ __| / ____| /\|__ __| ____| | (___ | |__) | |__ | (___ | \ / | / \ | |__) | | | | | __ / \ | | | |__ \___ \| ___/| __| \___ \| |\/| | / /\ \ | _ / | | | | |_ | / /\ \ | | | __| ____) | | | | ____) | | | |/ ____ \| | \ \ | | | |__| |/ ____ \| | | |____ |_____/|_| |_| |_____/|_| |_/_/ \_\_| \_\ |_| \_____/_/ \_\_| |______| ``` # SPF Smart Gateway v3.0.0 **MCP Server Gateway with Multi-Layer Security Enforcement, Agent Memory, FLINT Transformer, Mesh Network, and 81 Gated Tools** > **NOTE: Full system upload still in progress.** Not all files are present yet. Repository is actively being populated — some modules may be missing until upload completes. Copyright (C) 2026 Joseph Stone — All Rights Reserved --- ## Quick Start ```bash # Clone into home folder git clone <repo-url> ~/SPFsmartGATE # Or for clones/SWARMagents: # ~/SWARMagents/1/SPFsmartGATE cd SPFsmartGATE cargo build --release # Copy optimized binary cp ~/SPFsmartGATE/target/release/spf-smart-gate ~/SPFsmartGATE/LIVE/BIN/spf-smart-gate # Configure MCP server filepath nano ~/SPFsmartGATE/LIVE/LMDB5/.mcp.json # Install Claude CLI in project directory # Use included configs, deny native Claude CLI tools # ~/SPFsmartGATE/LIVE/LMDB5/.claude.json # ~/SPFsmartGATE/LIVE/LMDB5/.claude/settings.json # Boot into flat-file agent runtime cd ~/SPFsmartGATE/LIVE/LMDB5 && claude # Boot into LMDB-backed agent runtime cd ~/SPFsmartGATE/LIVE/LMDB5.DB && claude ``` ### Route Other Models Through Claude CLI Adjust `~/SPFsmartGATE/LIVE/LMDB5/.claude/settings.local.json` with your model choice and API key. Uses OpenRouter for API and agent selection. Swap agents without changing sessions or losing project data. ### Build Notes - Cross-compiles on **Android** and **Linux** with minimal installation - Only rebuild on first boot or after system modifications - Binary: `~/SPFsmartGATE/LIVE/BIN/spf-smart-gate/spf-smart-gate` --- ## Overview SPF Smart Gateway is a **Rust-based MCP (Model Context Protocol) server** that acts as a security gateway for AI tool calls. Every file operation, bash command, brain query, and mesh call routes through compiled Rust enforcement logic. **No AI hallucination gets past the gate.** ### Web Agent Feature SPF agents can directly interact with the web and social media platforms through `spf_web_api` — a full HTTP client supporting GET, POST, PUT, DELETE, PATCH with custom headers and JSON body. Tested and working. **What agents can do:** - Post to X/Twitter, Facebook, Instagram, Reddit via their APIs - Reply to comments, send messages, manage accounts - Make authenticated API calls to any platform with stored API keys - Search, fetch, and download web content All web API calls pass through the 6-step gate pipeline with rate limiting (30-120 calls/min), content inspection, and full audit logging. Agents never touch the open web unmonitored. ### Why Heed + LMDB All persistent storage — config, agent state, brain vectors, session logs, gate training data — runs through **[heed](https://github.com/meilisearch/heed)**, a safe Rust wrapper over LMDB. This is what makes SPF extremely fast with a low memory footprint: - **Zero-copy reads** — heed maps LMDB pages directly into memory, no serialization overhead - **No server process** — LMDB is a memory-mapped B-tree library, not a database daemon - **ACID transactions** — single-writer, multi-reader with no lock contention on reads - **Sub-millisecond lookups** — B-tree index, not hash scanning - **Tiny footprint** — entire 138K+ memory store runs in-process with minimal RAM - **Phone-friendly** — designed for Android from day one; heed compiles cleanly on ARM64 Every tool call, brain search, and memory promotion goes through heed → LMDB. No network hops, no subprocess calls, no SQL parsing. The gate, brain, agent state, and FLINT training all share the same embedded database engine. Two agent runtimes: - **Flat files** — `LIVE/LMDB5/` (session state in markdown) - **LMDB database** — `LIVE/LMDB5.DB/` (session state in LMDB for persistence) Twin folder architecture: flat-file data uploaded via SPF CLI fs tools (user-only access). All agent tool calls are gated, validated, and audited. --- ## Architecture ``` ┌─────────────────────────────────────────────────────────────────┐ │ SPF Smart Gateway v3.0.0 │ │ 42 Rust modules │ ├─────────────────────────────────────────────────────────────────┤ │ MCP Server (JSON-RPC 2.0 over stdio) │ │ 81 tools │ tool alias map │ Qwen/LLM compatibility │ ├─────────────────────────────────────────────────────────────────┤ │ GATE (6-Step Pipeline) │ │ Step 0: Source logging │ │ Step 1: Rate limiting │ │ Step 2: Complexity calculation (SPF formula) │ │ Step 3: Validation (per-tool: paths, commands, Build Anchor) │ │ Step 4: Content inspection (credentials, injection) │ │ Step 5: Max mode escalation │ ├──────────┬──────────┬──────────┬──────────┬─────────────────────┤ │ FLINT │ Brain │ Mesh │ Voice │ Browser/RAG │ │ (encoder-│ (vectors │ (P2P QUIC│ (TTS/STT │ (reverse proxy │ │ decoder │ LMDB + │ Ed25519 │ espeak- │ search, fetch, │ │ ~5M │ MiniLM) │ iroh) │ ng FFI) │ RSS, web tools) │ │ params) │ │ │ │ │ ├──────────┴──────────┴──────────┴──────────┴─────────────────────┤ │ LMDB Storage Layer (heed) │ │ SPF_CONFIG │ TMP_DB │ AGENT_STATE │ Brain │ Gate Training │ │ All zero-copy reads via heed safe Rust bindings │ └─────────────────────────────────────────────────────────────────┘ ``` ### Module Inventory (42 modules) `paths`, `calculate`, `config`, `gate`, `inspect`, `mcp`, `session`, `storage`, `validate`, `web`, `http`, `dispatch`, `identity`, `mesh`, `fs`, `config_db`, `tmp_db`, `agent_state`, `tensor`, `tokenizer`, `framing`, `attention`, `ffn`, `encoder`, `decoder`, `transformer`, `checkpoint`, `gate_training`, `transformer_tools`, `train`, `learning`, `pipeline`, `worker`, `network`, `chat`, `voice`, `utf8_safe`, `brain_local`, `flint_memory`, `browser`, `orchestrator`, `channel` --- ## The SPF Formula ### Complexity Calculation ``` C = (basic ^ 1) + (dependencies ^ 7) + (complex ^ 10) + (files × 10) ``` ### Dynamic Analysis Allocation ``` a_optimal(C) = W_eff × (1 - 1/ln(C + e)) ``` Where `W_eff = 40,000` tokens and `e = Euler's number` ### Tier Allocation | Tier | C Range | Analyze | Build | Verify Passes | Approval | |------|---------|---------|-------|---------------|----------| | SIMPLE | < 500 | 40% | 60% | 1 | No | | LIGHT | < 2,000 | 60% | 40% | 1 | No | | MEDIUM | < 10,000 | 75% | 25% | 2 | No | | CRITICAL | > 10,000 | 95% | 5% | 3 | **Required** | ### Master Equation (Subtask Success) ``` P(success) = 1 - PRODUCT(1 - P_i) for i=1..D subtasks P_i = Q(a) × L(m) × V(v) × B(b) Q(a) = 1 - e^(-0.00004 × a) — Quality from analysis depth L(m) = 1 - 0.20^(m/2000) — Lookup from external memory V(v) = 1 - (1 - 0.75)^v — Verification accuracy B(b) = checks_done / checks_required — Build Anchor compliance ``` --- ## Security ### Gate Enforcement (6 Steps) Every tool call passes through `gate::process()` — compiled Rust, no runtime bypass. | Step | What | How | |------|------|-----| | 0 | Source logging | Identifies caller (Stdio, Transformer, Mesh, HTTP) | | 1 | Rate limiting | Per-tool limits (30–120 calls/min) | | 2 | Complexity calc | SPF formula → C value, tier, allocation | | 3 | Validation | Per-tool validator (paths, commands, anchors) | | 4 | Content inspection | Credential patterns, shell injection, path traversal | | 5 | Max mode | Escalation to CRITICAL tier on warnings | ### Build Anchor Protocol Files must be **read before they can be edited or overwritten**. Prevents AI hallucinations from blindly modifying files without understanding contents. - `Read` tracks files in `session.files_read` - `Edit` and `Write` check against this list - `Bash` write-class commands check target file reads - Violations: blocked (Max mode) or warned (Soft mode) ### Content Inspection Scans written/stored content for: - **Credential patterns**: API keys (sk-), AWS keys (AKIA), GitHub tokens (ghp_), Slack tokens, private keys, hardcoded passwords - **Shell injection**: Command substitution `$()`, backticks, eval/exec - **Path traversal**: `../` sequences - **Blocked path references**: Content mentioning system paths ### Blocked Paths Default blocked: `/tmp`, `/etc`, `/usr`, `/system`, `/data/data/com.termux/files/usr` ### Command Whitelist (Stage 0) Bash commands checked against sandbox and user-filesystem whitelists. Each command segment validated independently. Destructive commands (rm, chmod 777) blocked even if whitelisted. ### Default Deny Unknown tools blocked until explicitly added to the gate allowlist. --- ## MCP Tools (81 Total) ### Core Gate Tools | Tool | Description | |------|-------------| | `spf_calculate` | Calculate complexity score without executing. Returns C value, tier, allocation | | `spf_status` | Gateway status: session metrics, enforcement mode, complexity budget | | `spf_session` | Full session state: files read/written, action history, anchor ratio | ### Gated File Operations | Tool | Description | |------|-------------| | `Read` | Gated file read. Tracks for Build Anchor Protocol. Binary-safe | | `Write` | Gated file write. Validates Build Anchor, blocked paths, file size | | `Edit` | Gated file edit. Validates Build Anchor, blocked paths, change size | | `Bash` | Gated bash execution. Validates dangerous commands, /tmp access, git force | | `Glob` | Fast file pattern matching. Supports `**/*.rs`, `src/**/*.ts` | | `Grep` | Search file contents using regex. Built on ripgrep | ### Brain / Memory Tools | Tool | Description | |------|-------------| | `spf_brain_search` | Semantic vector search across collections (MiniLM-L6-v2, 384d) | | `spf_brain_recall` | Full document retrieval by semantic query | | `spf_brain_context` | Bounded context retrieval for prompt injection | | `spf_brain_store` | Store document in brain (FLINT-internal, source-gated) | | `spf_flint_store` | Agent memory store — bypasses brain write gate. Brain vectors + Working tier | | `spf_brain_index` | Index a file or directory into a brain collection | | `spf_brain_list` | List all indexed collections with document counts | | `spf_brain_status` | Brain system status: model state, storage size, collections | | `spf_brain_list_docs` | List stored documents in a collection | | `spf_brain_get_doc` | Retrieve a specific document by ID | ### Agent State Tools | Tool | Description | |------|-------------| | `spf_agent_stats` | AGENT_STATE LMDB statistics: memory count, sessions, state keys, tags | | `spf_agent_memory_search` | Search agent memories by content | | `spf_agent_memory_by_tag` | Get agent memories by tag | | `spf_agent_session_info` | Most recent session info | | `spf_agent_context` | Context summary for session continuity | ### FLINT Transformer Tools | Tool | Description | |------|-------------| | `spf_transformer_status` | FLINT transformer status: loaded, params, checkpoint, role | | `spf_transformer_infer` | Run inference: prompt → response. Returns generated tokens | | `spf_transformer_chat` | Multi-turn conversation with FLINT | | `spf_transformer_train` | Trigger manual training batch from accumulated gate signals | | `spf_transformer_metrics` | Learning metrics: loss, accuracy, gate alignment, training step | | `spf_flint_train_evil` | Mark a tool call as evil/harmful. Negative training signal | | `spf_flint_train_good` | Mark a tool call as good/safe. Positive training signal | | `spf_flint_execute` | Execute any SPF tool through FLINT worker mode (delegation) | ### Web Browser Tools **API tools (tested):** | Tool | Description | |------|-------------| | `spf_web_search` | Search the web (Brave API or DuckDuckGo) | | `spf_web_fetch` | Fetch URL and return clean readable text | | `spf_web_api` | Make HTTP API requests (GET/POST/PUT/DELETE/PATCH). Supports custom headers and JSON body — agents can directly interact with social media APIs (X/Twitter, Facebook, Instagram, Reddit, etc.) using stored API keys | | `spf_web_download` | Download a file from URL and save to disk | **Browser automation tools (in development — proxy starts, WebSocket bridge needs browser connection):** | Tool | Description | Status | |------|-------------|--------| | `spf_web_connect` | Initialize reverse proxy browser engine | Tested — works | | `spf_web_navigate` | Navigate browser to a URL (SSRF-validated) | Tested — works | | `spf_web_click` | Click a page element by CSS selector | In development — WebSocket timeout | | `spf_web_fill` | Type text into a form field by CSS selector | In development — WebSocket timeout | | `spf_web_select` | Query page elements by CSS selector | In development — WebSocket timeout | | `spf_web_eval` | Execute JavaScript on the current page | In development — WebSocket timeout | | `spf_web_screenshot` | Capture a screenshot of the current page | In development | | `spf_web_design` | Extract design brief: colours, fonts, spacing, components | In development | | `spf_web_page` | Structured page overview: title, headings, links, forms | In development | ### RAG Collector Tools | Tool | Description | |------|-------------| | `spf_rag_collect_web` | Search web and collect documents. Optional topic filter | | `spf_rag_collect_file` | Process a local file into brain | | `spf_rag_collect_folder` | Process all files in a folder | | `spf_rag_collect_drop` | Process files in DROP_HERE folder | | `spf_rag_index_gathered` | Index all documents in GATHERED to brain | | `spf_rag_dedupe` | Deduplicate a brain collection | | `spf_rag_status` | Collector status and stats | | `spf_rag_list_gathered` | List documents in GATHERED folder | | `spf_rag_bandwidth_status` | Bandwidth usage stats and limits | | `spf_rag_fetch_url` | Fetch a single URL with bandwidth limiting | | `spf_rag_collect_rss` | Collect from RSS/Atom feeds | | `spf_rag_list_feeds` | List configured RSS feeds | | `spf_rag_pending_searches` | Get pending SearchSeeker vectors (gaps needing fetch) | | `spf_rag_fulfill_search` | Mark a SearchSeeker as fulfilled after RAG fetch | | `spf_rag_smart_search` | Smart search with completeness check — triggers SearchSeeker if <80% | | `spf_rag_auto_fetch_gaps` | Automatically fetch data for all pending SearchSeekers | ### Mesh Network Tools | Tool | Description | |------|-------------| | `spf_mesh_status` | Mesh network status: role, team, identity | | `spf_mesh_peers` | List known/trusted mesh peers | | `spf_mesh_call` | Call a peer agent's tool via P2P mesh (Ed25519 authenticated) | ### Voice Tools | Tool | Description | |------|-------------| | `spf_voice_mode` | Voice pipeline control: start/stop audio, TTS (espeak-ng), mic capture | | `spf_voice_call` | Peer-to-peer voice calls: start, accept, reject, end, status | | `spf_voice_team` | Group voice channels: create, join, leave, add peers | ### Chat Tools | Tool | Description | |------|-------------| | `spf_chat_send` | Send text message to mesh peer via QUIC | | `spf_chat_history` | Chat message history (all conversations or specific) | | `spf_chat_rooms` | List active chat conversations with participant info | ### Network Pool Tools | Tool | Description | |------|-------------| | `spf_pool_status` | Pool status: worker roles, idle/busy counts, active tasks | | `spf_pool_assign` | Assign task to idle worker (NetAdmin only) | | `spf_pool_release` | Release worker and record proof of work receipt | ### Configuration Tools | Tool | Description | |------|-------------| | `spf_config_paths` | List all path rules (allowed/blocked) from SPF_CONFIG | | `spf_config_stats` | SPF_CONFIG LMDB statistics | ### Project Management Tools | Tool | Description | |------|-------------| | `spf_tmp_list` | List all registered projects with trust levels | | `spf_tmp_stats` | TMP_DB statistics: project count, access logs, resources | | `spf_tmp_get` | Get project info by path | | `spf_tmp_active` | Get the currently active project | ### Communication Hub | Tool | Description | |------|-------------| | `spf_channel` | Universal agent channel: create, join, leave, send, listen, history, list, connect (WS), disconnect, status | ### Notebook Tools | Tool | Description | |------|-------------| | `spf_notebook_edit` | Edit a Jupyter notebook cell (replace, insert, delete) | ### User-Only Tools (AI agents blocked) These tools are **hard-blocked** from AI agents at the gate level. User/system access only via SPF CLI: `spf_fs_exists`, `spf_fs_stat`, `spf_fs_ls`, `spf_fs_read`, `spf_fs_write`, `spf_fs_mkdir`, `spf_fs_rm`, `spf_fs_rename` --- ## FLINT Transformer Built-in encoder-decoder transformer for gate-aligned learning. | Property | Value | |----------|-------| | Architecture | Encoder-decoder | | Dimensions | 256d | | Heads | 8 | | Layers | 6 | | Parameters | ~5M | | Embeddings | all-MiniLM-L6-v2 (384d, in-process) | | Online learning | ON | | EWC lambda | 0.4 | | Learning rate | 1e-4 | | Replay buffer | 10,000 slots | | Checkpoint interval | 1,000 steps | | Training signal | Gate decisions (evil/FP labels) | ### Learning Pipeline | Phase | When | What | |-------|------|------| | PRE | Startup | init_brain() + index_knowledge_docs() + index_spf_sources() | | DURING | 30s loop | GateTrainingCollector → FLINT scores → route_signals → brain_store() | | AFTER | 1hr loop | Expire → Working→Fact → Fact→Pinned → auto-train (16+ tlog or 1hr) | ### Memory Lifecycle (Tiered Promotion) ``` Agent stores → Working (24hr) → Fact (7-day) → Pinned (permanent) ↓ ↓ ↓ Expire old Top 20% promote Never auto-expire ``` --- ## Brain System In-process vector memory using stoneshell-brain (Candle + LMDB + MiniLM-L6-v2). | Property | Value | |----------|-------| | Model | all-MiniLM-L6-v2 | | Embedding dim | 384 | | Chunk size | 512 | | Chunk overlap | 64 | | Storage | LMDB (vectors) + LIVE/BRAIN/DOCS/ (data files) | ### Collections | Collection | Purpose | |------------|---------| | `default` | General knowledge, web research, project docs | | `spf_source` | All src/*.rs modules indexed at boot | | `flint_results` | Tool call results (>2000 chars, before compression) | | `flint_training` | Gate decision signals, evil/FP labels | | `flint_knowledge` | User-dropped knowledge files (.md/.txt/.rs/.json) | | `flint_episodic` | Past FLINT Q+A pairs, behavioral patterns | | `session_state` | Current session metadata | ### Memory Triad (Redundant Persistence) Three systems — if any ONE fails, the other TWO recover: 1. **Brain** (vectors) — Semantic search, chunked knowledge 2. **STATUS** (sequential) — Current state, phase, next step 3. **Work Blocks** (structural) — Tasks, dependencies, confidence, progress 4. **Twin Folders** (evidence) — Data served for low-confidence work blocks --- ## Mesh Network P2P agent communication over QUIC (iroh library) with Ed25519 identity. **In development and testing.** | Feature | Status | |---------|--------| | P2P QUIC transport | In development | | Ed25519 identity | In development | | Peer discovery | In development | | Tool call proxying | In development | | Voice over mesh | In development | | Chat over mesh | In development | | Multi-agent coordination | In development | --- ## Voice Pipeline **Not yet tested.** Components built, awaiting integration testing. | Component | Technology | |-----------|-----------| | TTS | espeak-ng FFI (in-process) | | Codec | Opus (libopus.a) | | Audio | cpal + oboe-ext | | STT | Pending (JNI via Stone Shell Terminal) | --- ## Result Compression (FL-2) Three tiers based on result size: | Tier | Size | Behavior | |------|------|----------| | FULL | < 500 chars | Pass through unchanged | | SUMMARY | 500–5,000 | First 8 lines + last 3 lines + stats | | DIGEST | > 5,000 | First 200 chars + last 100 chars + stats + recall hint | Originals always preserved in brain (>2000 chars threshold) before compression. File reads never truncated (preserves non-Claude LLM compatibility). --- ## Build ```bash cd SPFsmartGATE cargo build --release # Deploy binary cp target/release/spf-smart-gate LIVE/BIN/spf-smart-gate/spf-smart-gate ``` ### Dependencies - Rust (stable) - **[heed](https://github.com/meilisearch/heed)** — safe Rust LMDB bindings. All persistent storage (config, agent state, brain vectors, training data) runs through heed → LMDB. Zero-copy reads, no server process, sub-millisecond lookups. The core reason SPF runs fast on a phone. - stoneshell-brain (Candle + MiniLM-L6-v2) - espeak-ng (TTS) - libopus (audio codec) - iroh (QUIC mesh) --- ## Configuration ### MCP Server Config `~/SPFsmartGATE/LIVE/LMDB5/.mcp.json` — points Claude CLI to the binary. ### Claude CLI Config `~/SPFsmartGATE/LIVE/LMDB5/.claude.json` — blocks native Claude CLI tools (26 tools denied). `~/SPFsmartGATE/LIVE/LMDB5/.claude/settings.json` — deny list for native tools. `~/SPFsmartGATE/LIVE/LMDB5/.claude/settings.local.json` — model routing (OpenRouter). ### SPF Config Enforcement mode (`soft` or `max`), blocked paths, allowed paths, formula weights — all in LMDB SPF_CONFIG database. --- ## File Structure ``` SPFsmartGATE/ ├── Cargo.toml # Rust project manifest (42 modules) ├── LICENSE # Apache-2.0 ├── README.md # This file ├── src/ │ ├── main.rs # CLI entry point │ ├── lib.rs # Library exports (42 pub mod) │ ├── gate.rs # Primary enforcement (6-step pipeline) │ ├── calculate.rs # SPF complexity formula │ ├── validate.rs # Rules validation (stages 0-6) │ ├── inspect.rs # Content inspection (creds, injection) │ ├── mcp.rs # MCP server (JSON-RPC 2.0, 81 tools) │ ├── dispatch.rs # Unified dispatch (all transports) │ ├── session.rs # Session state management │ ├── storage.rs # LMDB persistence │ ├── config.rs # Configuration types │ ├── brain_local.rs # In-process brain singleton │ ├── flint_memory.rs # Memory router + tiered promotion │ ├── agent_state.rs # Agent memory (LMDB5) │ ├── transformer.rs # FLINT model (encoder-decoder) │ ├── transformer_tools.rs # FLINT tool handlers │ ├── gate_training.rs # Training signal collection │ ├── train.rs # AdamW optimizer │ ├── tokenizer.rs # Tokenizer │ ├── tensor.rs # Tensor operations │ ├── attention.rs # Multi-head attention │ ├── ffn.rs # Feed-forward network │ ├── encoder.rs # Encoder stack │ ├── decoder.rs # Decoder stack │ ├── framing.rs # Message framing │ ├── checkpoint.rs # Model checkpoint save/load │ ├── learning.rs # Learning rate + EWC │ ├── pipeline.rs # Batch pipeline + API sessions │ ├── worker.rs # Worker pool │ ├── network.rs # Network pool + NetAdmin │ ├── mesh.rs # P2P QUIC mesh (iroh) │ ├── identity.rs # Ed25519 identity │ ├── chat.rs # Chat engine │ ├── voice.rs # Voice pipeline (TTS/STT) │ ├── web.rs # Web client │ ├── http.rs # HTTP server + reverse proxy │ ├── browser.rs # Browser automation │ ├── channel.rs # Universal channel hub │ ├── orchestrator.rs # Multi-agent orchestrator │ ├── config_db.rs # SPF_CONFIG LMDB │ ├── tmp_db.rs # TMP_DB LMDB │ ├── fs.rs # Virtual filesystem (LMDB) │ ├── paths.rs # Path utilities │ └── utf8_safe.rs # UTF-8 safe truncation ├── LIVE/ │ ├── BIN/spf-smart-gate/ # Deployed binary │ ├── BRAIN/DOCS/ # Brain data files │ ├── MODELS/ # FLINT checkpoints │ ├── SESSION/ # Session logs │ ├── LMDB5/ # Flat-file agent runtime │ └── LMDB5.DB/ # LMDB-backed agent runtime └── PROJECTS/PROJECTS/ └── DEPLOY/ # Agent workspace ``` --- ## Current Status | Component | Status | |-----------|--------| | MCP Server | 81 gated tools | | Gate Security | 6-step pipeline, compiled Rust enforcement | | Build Anchor | Read-before-write enforced | | Content Inspection | Credential + injection scanning | | FLINT Transformer | ~5M params, online learning, gate-aligned | | Brain | 7 collections, MiniLM-L6-v2, in-process | | Memory Triad | Brain + STATUS + Work Blocks + Twin Folders | | Tiered Promotion | Working → Fact → Pinned lifecycle | | Mesh Network | P2P QUIC, Ed25519, iroh — **in development and testing** | | Voice | TTS built (espeak-ng) — **not yet tested**, STT pending | | Chat | P2P messaging over mesh — **in development** | | RAG | Web search, RSS, file/folder indexing | | Web Agent | **Working** — spf_web_api tested (GET/POST with auth headers). Agents can interact with social media APIs | | Browser | API tools working (web_api, search, fetch). Browser automation (navigate/click/fill/select/eval) in development — proxy starts but WebSocket bridge needs browser connection | | Network Pool | Worker pool with proof of work | --- ## Notes - **1 developer** — not all features complete - **Gateway security**: approaching 100% - **All core tools**: 100% working - **Cross-compiles** on Android and Linux with minimal installation - **Agent cloning and specialization** supported - **50+ day continuous session** tested on Android phone - **Open source** — entire source code refreshes into transformer RAG system every reboot - Install in home folder, ensure file paths are correct in `.mcp.json` and `settings.local.json` - **Not all files have been uploaded yet** — repository is still being populated. Some modules may not be present until upload completes. --- ## License Licensed under the **Apache License 2.0**. See [LICENSE](LICENSE) for full terms. You are free to use, modify, and distribute this software, including for commercial purposes, provided you include the original copyright and license notice. **Author**: Joseph Stone **Email**: joepcstone@gmail.com *SPF (StoneCell Processing Formula), Build Anchor Protocol, and FLINT are proprietary designs of Joseph Stone.*

Unified inbox MCP for WhatsApp, Telegram, Email, voice — read/send messages, search conversations, manage contacts, query knowledge graph, and trigger AI agents through natural language.

MCP server for AI-agent handoffs. A2CR saves client-encrypted WorkBaton checkpoints and WorkStash notes so MCP-capable clients can resume work without passing full chat history.

DataGrout is the connectivity and intelligence layer that lets AI agents actually operate inside your enterprise, automating complex multi-step workflows, connecting to any system through a single endpoint, and doing it all with built-in guardrails, persistent memory, and full observability. From data preparation to LLM cost tracking to prompt injection defense, DataGrout turns agents from sandboxed experiments into systems your business can actually depend on.

A small MCP server for coding agents. Catches dead model IDs, dependencies with open CVEs, and end-of-life runtimes — the things training data is months stale on — before the agent ships broken code. Free, no auth, stateless. Three tools, three output modes, auditable {as_of, sources[]} on every response.

Torify gives AI agents the Japanese locale primitives that standard libraries lack — imperial era date conversion (wareki), qualified invoice number validation with NTA registry lookup, corporate number lookup (法人番号), postal code resolution, name romanization (Hepburn), and kanji-to-kana conversion via Yahoo! JLP. 10 free MCP tools backed by a 40-endpoint REST API. No authentication required for MCP. 100 calls/month free with email signup, or pay-per-call $0.02/call via x402, or $49/mo Pro subscription.

Airtable is the database and operations layer for your agents — whether running product, marketing, sales, ops, HR, or a custom business app. It combines structured data with multiplayer visual surfaces (grid, kanban, calendar, gallery, timeline) humans and agents share — plus sync integrations to Jira, Salesforce, Zendesk, Google Drive, Databricks, and the rest of your stack, all backed by enterprise governance. This plugin makes Claude fluent in Airtable: creating bases and schema, working with records, and sharing UI for collaboration. Bundles the official Airtable MCP server.

The simplest, most complete, end-to-end agent-managed company brain. One workspace where humans and any MCP-compatible AI agent (Claude, Cursor, Windsurf, ChatGPT, Gemini, and more) co-author living documents (Markdown-native with a rich superset on top), 40+ visual diagrams (Mermaid, BPMN 2.0, D2, PlantUML, GraphViz, ELK, Excalidraw freehand), plans, timelines, tasks, improvements, and a self-learning Knowledge Graph that IS the company brain. Lean, fast, secure, and affordable — flexible enough for one person organising a personal mind, through to small businesses, growing businesses, and enterprise. 163 MCP tools across 16 categories let an agent drive end-to-end: sign-up → billing → org/workspace/project → members → teams → permissions → brain scope → docs → diagrams → plans, all without a human touching the UI. Auth: OAuth 2.1 with Dynamic Client Registration, or Bearer API key with prefix sta_. Public repo: https://github.com/stablebaseline/mcp · Docs: https://stablebaseline.io/docs/mcp

The simplest, most complete, end-to-end agent-managed company brain. One workspace where humans and any MCP-compatible AI agent (Claude, Cursor, Windsurf, ChatGPT, Gemini, and more) co-author living documents (Markdown-native with a rich superset on top), 40+ visual diagrams (Mermaid, BPMN 2.0, D2, PlantUML, GraphViz, ELK, Excalidraw freehand), plans, timelines, tasks, improvements, and a self-learning Knowledge Graph that IS the company brain. Lean, fast, secure, and affordable — flexible enough for one person organising a personal mind, through to small businesses, growing businesses, and enterprise. 163 MCP tools across 16 categories let an agent drive end-to-end: sign-up → billing → org/workspace/project → members → teams → permissions → brain scope → docs → diagrams → plans, all without a human touching the UI. Auth: OAuth 2.1 with Dynamic Client Registration, or Bearer API key with prefix sta_.

TronSave MCP server focused on helping agents and clients buy and sell TRON resource quickly through one unified interface, with fast order execution, pricing/estimation tools, and secure session-based workflows.

Official MCP server for TrackingTime (trackingtime.co). Query time entries, projects, tasks, customers, and team productivity data from Claude, Cursor, or any MCP-compatible AI client. Read-only. Works with SSE and HTTP transports.

Simulates how 5 real Applicant Tracking Systems (Workday, Greenhouse, Lever, Taleo, iCIMS) parse a CV and surfaces vendor-specific lint warnings. Pure JS lint engine, MIT licensed, no network calls in the lint logic. Vendor rules cite their public sources. Tools exposed: analyze_cv (full report), lint_for_vendor (single-vendor lint), get_express_url (web companion link). Compatible with Claude Desktop, Cursor, Cline, and any MCP-spec-compliant client.

Provides LLMs with tools to interact with the MASV API. Available Tools: - Package Management - Portal Management - Activity Tracking - Integration Management

Tokanban is agent-first task management for software teams using Claude Code, Codex CLI, OpenCode, Cursor, and custom MCP clients. Per-project Durable Objects serialize all writes so concurrent agents never conflict. Every mutation is idempotent and ETag-guarded. Agents authenticate with scoped keys, get full activity attribution, and trigger transactional automation rules. Free to start.

Control Mullvad VPN from any MCP-compatible AI client. Connect, disconnect, switch servers, check for leaks, manage kill switch, DAITA, multihop, DNS blocking, and more — all via the local Mullvad CLI.

AI security intelligence on Base. Three paid MCP tools: CVE vulnerability lookup ($0.01), IP/domain reputation check ($0.01), and secret/credential scan ($0.05). Pay-per-call via x402 USDC on Base. No API keys required for callers. Hosted on Cloudflare Workers with per-tool x402 payment challenges.

Query live Upwork freelance market intelligence directly from your AI agent. Get real-time data about: - Trending skills with week-over-week change - Average fixed & hourly rates by category - Top hiring countries - Highest-budget jobs in last 24 hours - 7×24 activity heatmap (best times to apply) - Client quality distribution by hire rate - Daily posting trends Data is aggregated from 15,000+ live Upwork job postings, updated every minute. Free for non-commercial use. No authentication required. Rate limited to 30 requests/minute per IP. Built by SnipeWork — AI-powered Upwork job scanner for freelancers.

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

Claude solves problems. Kuriflow makes them repeat. Stop spending AI tokens on the same task every week — let Claude solve it once, then Kuriflow runs it automatically with new data from email, Google Drive, or file uploads. Zero token cost per run. Save your tokens for tasks that actually need intelligence.

Claude solves problems. Kuriflow makes them repeat. Stop spending AI tokens on the same task every week — let Claude solve it once, then Kuriflow runs it automatically with new data from email or Google Drive. Zero token cost per run. Save your tokens for tasks that actually need intelligence.

The fast, idiomatic way to build MCP servers in Go. Struct-tag auto schema, middleware chain, tool groups, auth, adapters for Gin/OpenAPI/gRPC, async tasks, Inspector UI, and more.

Search 1M+ enriched job listings from 20,000+ companies. Filter by skills, salary, location, seniority, remote type, and more. Free — 500 calls/day, no signup required.

AI-first file sharing and collaboration. 251 MCP tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. Free tier includes 50GB storage and 5,000 monthly credits, no credit card. Built by the team behind MediaFire. Works with Claude Desktop, Claude Code, Cursor, VS Code, Cline, and any MCP-compatible client. Connect via Streamable HTTP at https://mcp.fast.io/mcp or SSE at https://mcp.fast.io/sse. OAuth 2.0 PKCE authentication. Open source (Apache-2.0).

Access Versium's B2B2C identity graph directly through your AI agent. Generate targeted lead lists, enrich records with contact and firmographic data, validate emails, and size audiences — all through natural language. No manual exports or API coding required. Requires an active Versium REACH subscription with API access.

Open-source MCP server with 40+ browser automation tools, YAML workflow engine, and installable domain knowledge packs. Includes Chrome extension for real DOM access, REST API, and Svelte dashboard. Works with Claude Code, Cursor, Claude Desktop, and any MCP client.

AI-powered workflow compiler for Cloudflare edge. Compile automation from prose via MCP, run forever without AI tokens. 14 tools, 4 resources.

Persistent state for AI agent workflows. Save, resume, and replay multi-step workflows across sessions, crashes, and agent handoffs.

HttpStatus MCP Server gives AI assistants 24 production-ready tools for API development workflows. Test, mock, monitor, and secure APIs directly from Claude, Cursor, Windsurf, or any MCP-compatible client.

Studio is where you run MCP tools in the browser against real credentials -- see inputs, outputs, and errors before you trust an agent. Enable bundles in your workspace, then add your Hub or per-bundle streamable HTTP URL in Cursor, Claude, ChatGPT, or VS Code. Workspace-scoped credentials; optional mcpbundles CLI on PyPI.

Generate a visual AI automation workflow for a business process. Returns a shareable link to an interactive canvas on obscuraai.xyz where the workflow can be viewed, edited, and exported. Use when a user wants to map out an automation, workflow, or AI system for their business.

About MCP server for Claude, ChatGPT, coding agents (cursor, claude code etc), windsurf, etc— generate visual AI automation workflows. Describe a business process, get an interactive flow map you can edit and share.

FORMLOVA is a chat-first form service where daily form creation and management happen through natural conversation. With 127 MCP tools across 25 categories, users can create forms, customize designs, send emails, analyze responses, set up workflows, and more — all without opening a dashboard. Supports OAuth 2.1, works with Claude, ChatGPT, Gemini, Cursor, and Windsurf. Free plan available with unlimited forms and responses.

WhoisJSON MCP Server exposes four domain intelligence tools directly inside Claude, Cursor, and Windsurf — no code required. whois_lookup: Full WHOIS registration record for any domain — registrar, creation and expiry dates, nameservers, registrant contacts, and DNSSEC status. dns_lookup: All DNS records in a single call — A, AAAA, MX, TXT, CNAME, NS, SOA, CAA, DMARC, and more. Useful for mail server audits, SPF/DKIM verification, and infrastructure mapping. ssl_check: TLS certificate details including issuer, expiry date, Subject Alternative Names, and full chain validity. Detect expired or misconfigured certificates instantly. domain_availability: Instant registration availability check for any TLD. Returns a clear registered/available status. Your WhoisJSON API key works identically for the REST API and the MCP server. 1,000 free requests/month, no credit card required. Get your API key at whoisjson.com.

Local task scheduler and worker manager with MCP integration for Claude Desktop. Cron/interval scheduling, email alerts, worker chaining, and a Flask dashboard with system tray support.

EdgeDNS provides a server that exposes 90 domain intelligence tools covering DNS, email security, website security, SEO analysis, tech stack detection, performance, threat intelligence, network diagnostics, compliance, and reporting.

Security-first MCP server for TP-Link Omada, with a stdio-first runtime, capability-gated tools, and OpenAPI-based network automation.

Ephemeral verification receipts for agent workflows. Agents create receipts to prove actions happened, then other agents verify before acting. Prevents duplicates, stale approvals, and unsafe retries. Receipts expire in 24 hours. Free API — sign up with the signup tool.

Portable execution context for agent workflows. Create structured capsules with summaries, decisions, and next steps that agents use for handoffs between sessions. Capsules expire after 7 days. Free API — sign up with the signup tool.

Point Claude at any API. JitAPI figures out which endpoints to call and in what order — automatically. Register any OpenAPI spec, search endpoints in plain English, and orchestrate multi-step workflows across multiple APIs. No API keys required — works out of the box with local embeddings.

Hosted MCP DNS utility for querying records through a paid remote server with first-call proof and x402 payment gating.

Lightning-paid tool stack for autonomous agents. Capital-scale-aware second-opinion /review (Sentinel mode auto-injects live trading state for trading-artifact verdicts), strategic reasoning, structured decisions, sandboxed code execution with audit proofs, paid agent-to-agent message bus, persistent memory, and a Lightning marketplace with seller payouts. Built and used daily by our own agent fleet — Warden, Sentinel, Coder, Treasury, Earner, viperclaw1 — who pay each other in sats. External agents get the same infrastructure on the same terms. Tools: - /review — Independent verdict (approve / approve_with_concerns / reject) with ranked issues + suggested fixes; Sentinel mode for capital-scale-aware trading review (~200 sats + length bonus) - /reason — Strategic analysis (~100 sats) - /decision — Structured decision with confidence + risk_level (~180 sats) - /execute — Docker-isolated Python jobs with audit hashes (Tier 1 ~700 sats) - /browse — Restricted public fetch + Playwright screenshot worker (~500 sats) - /messages/post — Paid agent-to-agent bus, 5% platform cut (~200 sats) - /memory/store + /get + /list — Cross-session persistent agent memory (~2 sats/KB)

Odoo is powerful. AI is powerful. Together, they’re even better. odoo-mcp-pro connects your AI assistant directly to your Odoo ERP, allowing you to interact with your business data using natural language. Instead of navigating through menus and interfaces, you simply ask questions or give commands—just like you would to a colleague. For example: "Show me all unpaid invoices over €5,000 from Q4." Your AI assistant understands the request, queries your Odoo system, and instantly returns the results. With odoo-mcp-pro, you can: Search and analyze data Create and update records Manage workflows with simple instructions It’s not meant to replace Odoo’s interface, but to complement it with a faster, more intuitive way of working. The tool is compatible with leading AI platforms such as Claude, ChatGPT, Gemini, Copilot, and Mistral through the MCP protocol, making it easy to integrate into your existing workflow. Currently available as a free beta, odoo-mcp-pro supports Odoo versions 14 through 19, runs on Python 3.10+, and uses modern authentication via OAuth 2.1. In short: odoo-mcp-pro turns your AI assistant into a smart interface for your Odoo system—helping you work faster, smarter, and more naturally.

Post jobs, find work, register agents, check reputation, and manage payments. The work exchange protocol where AI agents and humans exchange verified work for money. 9 MCP tools: list_jobs, get_job, post_job, claim_job, deliver_job, find_matching_jobs, register_agent, get_reputation, platform_stats.

AI-powered workflow error analysis for n8n, Make, Zapier, Power Automate, and 10+ automation platforms. Paste any error, get root cause analysis and ranked fixes instantly. No API keys needed.

Safari DevTools MCP — real browser debugging with network interception, DOM inspection, cookie/storage management, and CSS analysis for AI agents on macOS

A remote MCP server for searching luxury cruise voyages, ships, brands, and ports. Powered by real-time data from multiple providers. Includes RAG-powered knowledge search for ship dining, facilities, cabin details, and port guides. Supports 30 languages. Just paste the URL — no installation, no API key required.

Search and discover 100+ MCP servers, functions, and skills. Semantic search, full tool schemas, per-tool access control. No auth needed for discovery.

Manage your entire notification infrastructure using natural language. Trigger workflows, create users, manage preferences, update tenant branding, and access documentation — all from Cursor, Claude Desktop, or Windsurf. 24 tools across 4 categories covering email, SMS, push, WhatsApp, Slack, MS Teams, and in-app notifications. Zero context switching between your IDE and dashboard.

65+ AI tools as an MCP server. Research, write, code, scrape, translate, analyze, agent memory, workflows. Pay per call from $0.006.

Security testing MCP server with 51 tools across 19 modules. Covers SQL injection, XSS, command injection, SSRF, path traversal, PCAP forensics, memory forensics (Volatility), reconnaissance, malware analysis, CloudTrail analysis, and more. Includes 8 methodology prompts for guided security workflows. Run via npx operant-mcp.

Connect AI assistants to the Anycast network. Manage agents, send messages, control access policies, and monitor connectivity — all from Claude, Cursor, or any MCP-compatible client. 19 tools covering agent registration, P2P connections, groups, policies, and analytics.

Route tasks requiring human judgment to a vetted worker pool from any AI agent. Content moderation, refund decisions, data verification, quality assessments — when AI hits its limit, HumanRail routes to humans, verifies results, and pays workers via Lightning Network. 7 tools: create_task, get_task, wait_for_task, cancel_task, list_tasks, get_usage, health_check.

WellPulse MCP is a plug-and-play intelligence layer that turns raw wellbeing data into clear, actionable insights for AI systems. With a single integration, it connects your copilots, agents, or dashboards to both trusted public benchmarks (like CDC PLACES) and your organization’s internal wellness signals , delivering trends, snapshots, and alert checks in structured JSON alongside plain-English explanations. Designed for fast “ask → answer” workflows, it enables AI to instantly interpret changes, compare against real-world mental health benchmarks, and generate executive-ready summaries without human analysis. Built with a privacy-first approach no tracking, no identifiers it ensures trust while still powering live participation analytics and rapid incident response, helping teams proactively monitor wellbeing, detect risks early, and act with confidence. Learn more or get started at https://wpulse.org/

MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.

Agent-native travel search. 5 second flights & hotels $50 cheaper. Free forever for the first 1000 Stargazers.

Pay-per-query digital nomad intelligence for AI agents. Visa requirements, cost of living, coworking spaces, safety advisories, and connectivity data for 20+ countries via x402 protocol (USDC on Base). No API keys needed — payment is the authentication.

Strips PII (emails, SSNs, API keys, phone numbers, addresses) from text before agents send data to third parties. GDPR/HIPAA aligned. Stateless. Pay $0.005 USDC per scrub via x402 on Base network.

Compresses large blocks of text, code, or conversation history into hyper-dense Reasoning Maps optimized for LLM context windows. Saves agents 80%+ on token costs. Stateless. Pay $0.001 USDC per compression via x402 on Base network.

One-line MCP config gives your AI agent persistent memory with automatic workflow rules. Unlike passive memory stores, Awareness teaches your agent WHEN to remember and recall — works across Claude Code, Cursor, Windsurf, Cline, Copilot and 7 more IDEs.

NAVER WORKS CLI + MCP server. 26 tools for messages, calendar, drive, mail, tasks, and boards. AI agents can manage NAVER WORKS directly.

MCP server for Archangel Agency — query ontological research, Universal Language briefings, Context JSON frameworks (8 ontological documents from FusionGirl wiki), and A2A agent card. Human-service provider offering structured knowledge designed for AI agent consumption. Built on Cloudflare Workers with rate limiting and x402 payment infrastructure.

A control plane for AI agents and human supervisors. Persistent task registry with scoped permissions, inter-agent delegation, and full provenance - all accessible via MCP. Deploy on Supabase free tier in 3 commands.

Your AI finds the right people for you. Agent-to-agent networking via MCP. Publish what you need, match against other agents, both humans approve before connecting. Ed25519 signed IntentCards, hosted API at api.aeoess.com.