#LLM

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.

HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Web content fetching and conversion for efficient LLM usage

Lucairn is an EU-based privacy gateway that sits between your MCP-enabled agent and the upstream LLM (Claude, GPT-4o, o1/o3/o4). What it does: - Automatically detects and replaces PII — names, emails, IBANs, addresses, phone numbers, customer IDs — with placeholders before reaching the upstream LLM. The model never sees the raw values. - Each response carries a signed compliance certificate (ed25519 + RFC 3161 timestamp + Sigstore Rekor inclusion proof) that proves what was redacted, when, and by which sanitizer layer. - Cross-provider BYOK: bring your own ANTHROPIC_API_KEY and/or OPENAI_API_KEY. Routing is automatic by model prefix (claude-* → Anthropic, gpt-* / o1-* → OpenAI). - Free Developer tier with 1,000 requests/month. Pro and Enterprise tiers unlock higher quotas and re-linkage of placeholders to original values in the response. Exposes one MCP tool, `chat_via_lucairn`, using the Anthropic Messages API wire format. Compatible with any MCP client (Claude Desktop, Cline, Continue, Cursor, etc.). Source: https://github.com/Declade/lucairn-sdks Glama listing: https://glama.ai/mcp/servers/Declade/lucairn-sdks Docs: https://lucairn.eu

Preflight spend control for AI agents. Block runaway agent loops before they start - not after the bill arrives. Per-request cost ceilings, budget checks, and outcome-based metering in 2 MCP tool calls.

TensorFeed is an MCP server for real-time AI ecosystem data. Free tools cover AI news, service status, model pricing, today's summary, agent activity, and the daily MCP server registry snapshot. Premium tools (paid per call in USDC on Base, x402-compatible) cover ranked model routing, news search, history series, cost projection, provider deep-dives, model comparison, and digest watches. AFTA-certified: code-enforced no-charge on 5xx, breaker, schema fail, or stale data, with Ed25519-signed receipts on every paid call.

Open registry of skills, tools, datasets, prompts, and playbooks for local LLMs. Search 155+ resources, get AI-powered recommendations, and install capabilities on demand for Ollama, LM Studio, and llama.cpp. Free, open, community-built.

MCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking (consolidation + extraction); this server is a thin filesystem bridge so agents can read, append, and search memory through the Model Context Protocol.

PQS is the fastest way to get better output from any AI model. Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and dimension breakdown across 8 quality dimensions. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc. The AI input quality problem is real. PQS solves it. MCP Tools: - score_prompt: Free. Grade and percentile for any prompt. No API key needed. - optimize_prompt: $0.025 USDC. Returns optimized prompt with full dimension breakdown. - compare_models: $1.25 USDC. Side-by-side scoring across multiple models. HTTP API (x402-native on Base): - /api/score/free: Free. Grade and percentile, no payment required. - /api/score: $0.025 USDC. Single score, pay-per-call. - /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite. - /api/score/batch: $0.25 USDC. Score multiple prompts in a single call. - /api/score/compare: $1.25 USDC. Multi-model side-by-side scoring. - /api/preflight: $0.05 USDC. Lightweight pre-flight quality check. Paste a prompt. Get an optimized version. Ship better work. Cheaper than one bad prompt.

Audit-grade memory backbone for agent teams. Bi-temporal facts (event time + transaction time, with recall(as_of=...) replay), 6-step deterministic retrieval (no LLM in the critical path), conversation ingest with speaker-locked dual-pass extraction, per-tenant Postgres row-level security, and Ed25519-signed provenance. Postgres + pgvector + Neo4j defaults; ArangoDB / DynamoDB / Cosmos / AlloyDB also supported. Listed on the official MCP Registry as io.github.bolnet/attestor.

LeafEngines is an agricultural intelligence MCP server that provides comprehensive tools for soil analysis, crop recommendations, weather forecasts, and environmental impact assessment. It integrates USDA data with local sources for international coverage. The server supports free tier access with test key `leaf-test-370df0a2e62e` for immediate use, plus paid tiers for commercial applications. Version 2.0.2 includes telemetry integration for anonymous usage tracking.

Filesystem-first MCP server for Obsidian vaults with an LLM-Wiki layer on top.

Your Data. Your AI. Your Rules. Ontheia is a self-hosted, open-source AI agent platform. Run AI agents, automate workflows, and connect AI models to any tool — entirely on your own infrastructure, without sending data to external cloud services.

Check whether a task can run on a local model instead of cloud before every inference call. Saves money on every call that does not need cloud.

Compile semantic document edits into correct Google Docs batchUpdate requests. UTF-16 arithmetic, cascading index shifts, OT-compatible ordering. MIT licensed.

Give AI agents structured database intelligence. Deterministic SQL, NULL trap detection, EXPLAIN pre-flight. MIT licensed.

Connect any MCP-compatible AI to Royal Mail and Parcelforce shipping. This server exposes five tools that let Claude, Cursor or any MCP client book orders, fetch postage labels, track shipments and cancel bookings through the official Click & Drop API. Covers 33 UK and international services, including 1st and 2nd Class, Tracked 24 and 48, Special Delivery, Parcelforce express and international tracked. Accepts both friendly service keys (for example tracked-24 or parcelforce-48) and raw Service Register codes (TOLP24, PFE48) directly. Typical workflows: daily order fulfilment from ecommerce platforms, customer service triage for tracking queries, returns handling, multi-carrier price comparison when paired with apc-mcp, bulk fulfilment days, and shipping quotes at checkout. Booking, tracking and cancellation verified end-to-end against the live Click & Drop API. Label retrieval requires a Royal Mail OBA account.

Model intelligence for AI agents — syntax, parameters, pricing, and routing for 67+ generative AI models (Midjourney, Flux, Suno, Runway, DALL-E, Stable Diffusion). 7 tools that let any MCP client recommend, compare, optimize, and price AI model calls.

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.

Yamaru Hardware Probe gives Claude Desktop and other MCP clients real visibility into your machine. 10 expert tools: full hardware inventory, real-time performance & thermal monitoring, RAM pressure analysis, SMART storage health, antivirus impact diagnostics, and LLM compatibility checks (VRAM fit, quantization prediction). Perfect for AI engineers, developers,vibe coder, gamers, and creators who want grounded answers instead of "it depends on your config". Apache 2.0, privacy-first (auto-anonymization), npm-installable.

Japanese LLM security APIs — prompt injection detection (jpi-guard) + PII masking (PII Guard). Free to start, no credit card required.

External QA layer for OpenClaw memory — diagnose, guard, and remediate your agent's memory. OpenClaw only adds to memory, never removes. Over time this causes silent degradation: stale long-term memories pointing to deleted files, false-positive short-term entries getting promoted, and SOUL.md drifting with task instructions that don't belong in an identity file. openclaw-memhealth intercepts the memory pipeline at every stage: • memory_health_check_oc() — quick scan: zombie count, false-positive rate, retrieval health score • memory_longterm_audit_oc() — deep audit of MEMORY.md: source validity, duplicate detection • memory_promotion_audit_oc() — pre-promotion quality gate: 5 checks before entries enter MEMORY.md • memory_soul_check_oc() — audit SOUL.md for boundary violations and identity drift • memory_config_doctor_oc() — infer minScore/embedding issues from behavior data • memory_dashboard_oc() — visual health dashboard with bilingual support (zh/en) LLM API key optional. All read-only tools are zero-risk.

petro-mcp — Petroleum Engineering MCP Server petro-mcp exposes petroleum engineering workflows to Claude and other MCP-compatible LLMs through natural language. Instead of writing Python scripts, just ask your AI assistant. Capabilities (80+ tools across the full upstream workflow): - Well Logs (LAS): Parse LAS files, extract curves and headers, compute Vshale, porosity (density, neutron-density, sonic, effective), water saturation (Archie, Simandoux, Indonesian), permeability (Timur, Coates), and net pay. - Decline Curve Analysis: Arps exponential/hyperbolic/harmonic fits, advanced models (Duong, PLE, SEPD), EUR calculation, Monte Carlo EUR distributions, bootstrap confidence intervals, probabilistic forecasts, price sensitivities. - Rate Transient Analysis (RTA): Agarwal-Gardner, Blasingame, NPI, flowing material balance, normalized rate, sqrt-time, material balance time, permeability estimation, radius of investigation. - Production Analytics: CSV production data queries, trend analysis, anomaly detection (shut-ins, rate jumps, water breakthrough, GOR blowouts), producing ratios (GOR, WOR, water cut). - PVT & Reservoir: Black-oil correlations (Standing, Beggs-Robinson, Hall-Yarborough, Lee-Gonzalez-Eakin, Sutton), brine PVT, bubble point, oil compressibility, gas Z-factor, volumetric OOIP/OGIP, recovery factors, Havlena-Odeh, P/Z analysis. - Drilling & Wellbore: Hydrostatic pressure, ECD, kill mud weight, MAASP, burst/collapse pressure, bit pressure drop, nozzle TFA, annular velocity, dogleg severity, vertical section, well survey, anticollision, wellbore tortuosity. - Production Engineering: Nodal analysis (Vogel IPR + VLP), Beggs-Brill multiphase flow, choke flow, erosional velocity, Turner/Coleman critical rates, hydrate temperature/inhibitor, ICP/FCP, HPT. - Economics: NPV, IRR, payout period, PV10, breakeven price, well economics, operating netback, price sensitivity. - Units: Oilfield unit conversions across pressure, rate, volume, length, density, viscosity, and more. Why petro-mcp? Purpose-built for petroleum engineers. Other energy MCP servers focus on commodity prices; this one runs the actual engineering calculations — log interpretation, decline analysis, reservoir engineering, drilling, production, and economics — all through plain English. Install: pip install petro-mcp → configure in Claude Desktop → ask away. Links: GitHub: https://github.com/petropt/petro-mcp · PyPI: https://pypi.org/project/petro-mcp/ · Web tools: https://tools.petropt.com License: MIT · Author: Groundwork Analytics

MCP server that exposes the full FAOSTAT API as tools for AI assistants — query UNFAO Food & Agriculture Statistics in natural language via Claude, Cursor, or any MCP-compatible client.

Web scraping, crawling, and data extraction for AI agents. 5 built-in tools: scrape (clean markdown from any URL), crawl (follow links across entire sites), map (discover all URLs on a domain), extract (structured JSON via schema), and search (web search with optional page scraping). 833ms average latency, single binary, 6 MB RAM. Self-host free or use managed cloud at fastcrw.com with 500 free credits. Firecrawl-compatible API. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP-compatible client.

Scan any website for AI agent readiness — payment protocols (x402, MPP, SPT, L402), MCP servers, OpenAPI specs, llms.txt, plugins, and more. Returns scored reports with 80+ checks.

Persistent memory for AI agents, important things stick, forgotten things fade, outdated facts get pruned automatically using the Ebbinghaus forgetting curve.

Conkurrence measures whether multiple AI models produce consistent outputs on your evaluation tasks. It tells you which items your AI agrees on and which need human review — using Fleiss' κ, Kendall's W, and bootstrap confidence intervals, the same psychometric methods trusted in clinical research.

Make your AI agents cheaper, faster, and more reliable. 5 products, 14 MCP tools, 1 API key. Task deduplication, cost prediction, output validation, behavioral governance, and shared failure intelligence. Anonymous demo mode — try all tools without a key. 1,000 free credits/month, no card required. https://plith.ai/.well-known/mcp/server-card.json

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories locally in SQLite, ranks by 6-factor scoring, returns results in TOON compact format (79% smaller than JSON). 17 MCP tools, 20 HTTP endpoints, 25 CLI commands. 4 tiers from keyword to autonomous with local LLMs via Ollama. 97.8% recall accuracy on ICLR 2025 LongMemEval benchmark. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, Continue.dev, OpenClaw, Llama, and any MCP client. Open source, MIT licensed, written in Rust.

Full MCP server for the Portkey AI Gateway Admin API. 151 tools for managing prompts, configs, virtual keys, analytics, guardrails, integrations, and more from any MCP client.

A Node.js Model Context Protocol (MCP) server that exposes Together AI's inference endpoints — chat completions, image generation, vision, and embeddings — as tools callable from Claude Desktop, Cursor, VS Code, and any other MCP-compatible client. I created this MCP due to an issue I was having accessing reasoning models through Together AI. Together AI's largest reasoning models (GLM-5, Qwen3.5-397B, MiniMax M2.5, Kimi K2.5) use a non-standard response format. During chain-of-thought generation, these models write their reasoning trace into choices[0].message.reasoning while leaving choices[0].message.content as an empty string. The final answer only appears in message.content once thinking is complete.

Route text, image, video, and audio tasks to 20+ AI providers — automatically picking the best model for the job based on your budget and active profile.

Track and optimize AI API spending across 16 providers. Real-time pricing, model routing analysis, caching opportunities, unit economics, and spend forecasting. Connects to OpenAI, Anthropic, AWS, GCP, Stripe, and more. Tools: list_providers, connect_account, get_financial_overview, query_spending, get_recommendations, detect_anomalies, get_setup_status, upload_bank_csv

Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.

Adaptive security toolkit for AI agents. Assess inputs for prompt injection, scan outputs for credential/PII leaks, teach new attack patterns to semantic memory, harden prompts with role-lock and sandboxing, and monitor metrics — all locally via MCP. Zero false positives on benchmarks, 179 tests, Apache-2.0.

Security intelligence MCP server with 29 tools. Domain recon + one-shot audit, CVE/EPSS/KEV lookup (340K+ CVEs), IP threat reports (AbuseIPDB + Shodan + ASN), bulk CVE/IOC lookups, IOC enrichment, SSL/email security scoring, code security scanning. Free tier 100 credits/hour, no API key required. 15+ GitHub stars, VS Code Marketplace extension, npm SDK, Smithery 98/100.

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.

Lightning-paid strategic reasoning and structured decision intelligence for autonomous agents. Pay per insight using Bitcoin Lightning (L402 protocol). No subscriptions, no accounts, no KYC. - /reason → High-quality strategic analysis - /decision → Structured JSON decisions with confidence and risk level Perfect for agents that need reliable, high-signal reasoning with deterministic cost.

Scan APIs for security vulnerabilities and get OWASP risk scores. Detects auth bypass, BOLA/IDOR, data exposure, prompt injection, and 12+ security categories.

Scan OpenClaw SKILL.md and MCP tool definition files for security vulnerabilities. 22 rules across prompt injection, capability escalation, data exfiltration, encoded payloads, and composition risks. The only scanner targeting agent skill file formats.

Monitor whether ChatGPT, Claude, and Perplexity recommend your product. Track AI visibility scores across LLMs, get actionable recommendations, and monitor competitors.

AI agents call LLMs, invoke tools, and hit APIs — but have no built-in way to cap spend. A single agent loop can burn hundreds of dollars before anyone notices. Cycles MCP Server gives any MCP-compatible agent a runtime budget authority: tools to check, reserve, spend, and release budget before and after every costly operation. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP host. Supports per-tenant budgets, soft-landing caps, and automatic heartbeat for long-running operations.

Atlas Cloud MCP Server enables developers to access state-of-the-art AI models for image generation, video generation, and LLMs through a unified MCP interface. Fast, scalable, and cost-efficient alternative to traditional AI providers.

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

Rust MCP server that gives AI agents reliable web access. Bypasses Cloudflare and bot protection using Chrome-level TLS fingerprinting, no headless browser needed. 10 tools for scraping, crawling, search, structured extraction, summarization, and more. Output is clean markdown optimized for LLMs with 67% fewer tokens than raw HTML. 8 of 10 tools work locally without an API key.

AI hardware compatibility data for running LLMs locally. Query 50 models, 25 GPUs, 9 ready-to-buy machines, and 663 compatibility entries. Get hardware recommendations, check VRAM requirements, and find buy links.

A high-performance Model Context Protocol (MCP) server connecting AI assistants (Claude, Cursor, Windsurf) directly to TestRail.

Markdown-first Notion MCP server — 26 tools, 92% fewer tokens, full round-trip fidelity

Tamper-evident cryptographic audit trail for LLM outputs. Compliance logging for AI agent decisions. Tools: dcl_commit, dcl_verify, dcl_get_chain, dcl_report. Requires API key from fronesislabs.com

AI-powered credit optimization for Manus AI. Automatically analyzes each prompt and routes to the cheapest capable model (Standard vs Max, Agent vs Chat mode). Saves 30-75% on Manus credits with zero quality loss. Tested across 53 real-world scenarios. Free and open-source.

AI payment router for agents. Route 300+ LLMs via cost/quality/speed/balanced modes, enforce session budgets, and settle per-request in USDC on Base via x402 micropayments. 6 tools: p402_chat, p402_create_session, p402_get_session, p402_list_models, p402_compare_providers, p402_health. 1% flat fee. TypeScript, cloud-hosted.

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.

Real-time AI behavioral drift monitoring. 37 tools tracking 11 LLM models with 9-score scorecards, silent version change detection, immune threat assessment, and compliance reporting. Free tier, no API key required.

The first MCP-native eval and observability tool for AI agents. Any MCP-compatible agent discovers and uses Iris automatically — no SDK, no code changes. Log traces with hierarchical span trees, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track what your agents are actually doing and costing you. Real-time dark-mode dashboard, OpenTelemetry-compatible span structure, self-hosted with SQLite. MIT licensed.

Access 47 AI models and 30 services via MCP. LLM, image gen, video, speech, embeddings, reranking, PDF parsing & more. Pay-per-use with x402 (USDC) or API key.

An MCP (Model Context Protocol) server that provides real-time LLM token pricing data for 60+ AI models across 15 providers.

CP Log Analyzer automatically triages your log files using a local AI model. It scans for errors, deduplicates repeated events, analyses root causes using Ollama (deepseek-r1:14b), and files structured GitHub Issues — all running on your own machine with zero data sent to external servers.

Named after the Q-signal QSP ("Will you relay?"), qsp-mcp relays tool calls between a local LLM and MCP servers. Any model with function calling capability gains access to the full qso-graph tool ecosystem — 71+ tools across 12 servers — from local weights, not from cloud.

Returns the optimal LLM for any task based on real-time pricing, latency, and quality data across 13 models from Anthropic, OpenAI, Google, Meta, Mistral, and DeepSeek. Helps agents reduce costs by routing to the cheapest capable model. $0.01/query via x402 (Solana USDC). Free health and discovery endpoints.

Web fetching, search, and structured data extraction API built for AI agents. Fetch any page as clean markdown, raw HTML, or JSON-LD. Search the web and news across 20+ countries. One credit per request, no tiers, no subscriptions. 500 free requests on signup.

Free AI security & productivity tools — prompt injection tester, PII redactor, code sanitizer, context budget planner, model picker, and more. 6 tools available via MCP, all stateless and no auth required.

Autopilot AI orchestration — describe your intent, orchex auto-generates a plan, parallelizes it into streams with file ownership enforcement, self-heals failures, and routes across 6 LLM providers (Claude, OpenAI, Gemini, DeepSeek, Ollama, AWS Bedrock).

Save 30-75% on Manus AI credits with ZERO quality loss. Intelligent model routing (Standard vs Max), smart testing, section-by-section processing for long content, context hygiene, and 12 vulnerability patches. Audited across 22 real-world scenarios. Works as a Manus Skill that auto-analyzes every prompt before execution.

Scrape any webpage as clean Markdown and extract YouTube transcripts. Enterprise grade infrastructure at $0.001 per request.

Access 627+ AI models with one API key. Chat with GPT-5/Claude/Gemini, generate images with DALL-E 3/Midjourney/Flux, create videos with Sora 2/Kling/Veo 3, compose music with Suno V4, and more — all through MCP.

Config-driven MCP proxy that adds session-safe file uploads, artifact handling, and robust state and health controls for upstream MCP servers.

The Global Price Benchmark for AI Inference. AI inference pricing intelligence delivered as a native tool for AI agents. Query the world's most comprehensive inference price database: 1,600+ SKUs, 40+ vendors, 6 modalities, 25 AIPI indexes. Search models, compare cross-vendor pricing, access market benchmarks and KPIs. Independent. Transparent. Free tier included.

Real-time news events, clustered by AI from hundreds of sources, classified by topic and geography, ranked by importance. Free. No API key. One command to install.

MCP server for prompt engineering: optimize prompts for better AI responses, analyze quality scores, convert between formats, generate system prompts, and access prompt templates. 6 tools on Cloudflare Workers.

MCP server that converts any URL to clean, token-efficient Markdown for AI agents. Strips ads, navigation, and scripts. Supports CSS selectors, batch processing (10 URLs), and token counting.

Fully decentralized P2P web search engine for LLMs. No API key, no billing, unlimited free search via MCP. Crawls, indexes, and searches the web through a peer-to-peer network. Features offline local search, credit-based incentives, privacy-first design, and 5 MCP tools: search, search_local, fetch_page, crawl_url, network_stats.

MCP server for the CI-1T prediction stability engine. 20 tools + 1 resource. Evaluate model stability, probe any LLM for instability (BYOM - bring your own model), manage fleet sessions, detect drift, generate visualizations, and control API keys. 7 tools work locally with no auth or credits. 1,000 free credits on signup.

Hierarchical memory for AI agents. Three-layer (buffer/working/core) with automatic decay, promotion, and semantic search.

Temporal Cortex is a Model Context Protocol server that gives AI agents deterministic calendar capabilities — temporal context, datetime resolution, multi-calendar availability merging across Google Calendar, Microsoft Outlook, and CalDAV, and conflict-free booking with Two-Phase Commit. Powered by Truth Engine. Install: npx @temporal-cortex/cortex-mcp.

Search and compare LLM test cases with real benchmark data. Find use cases by scenario, view model rankings, and evaluate performance—all through natural language.

Persistent project memory for LLMs. Never re-explain your project again.

A production-grade Model Context Protocol (MCP) server for Microsoft SharePoint. Connect Claude Desktop, VS Code Copilot, Cursor, Continue, or any MCP-compatible AI agent to your SharePoint — read files, manage folders, and reason over your organisation's knowledge.

Context Rot Detection & Healing — gives AI agents self-awareness about their cognitive state by analyzing token utilization, quality degradation, and session fatigue. Returns health scores (0-100), model-specific degradation curves for 15+ models, lost-in-the-middle risk scoring, and actionable recovery recommendations.

Give your AI agent unblockable browser access. Aluvia routes traffic through premium mobile carrier IPs to bypass 403s, CAPTCHAs, and WAFs automatically.

Reduce LLM token usage by 50-70% when sending structured data. TOON (Token-Oriented Object Notation) converts JSON, CSV, XML, YAML, and HTML tables to a compact header-based format. Save $489-$9,789 per 1M requests depending on model.

Web scraping MCP server for AI agents. Bypass anti-bot systems and get clean, LLM-ready Markdown content. Supports both stdio and Streamable HTTP transports. Built on 8+ years of production scraping infrastructure.

ShellGuard is an MCP server that lets LLM agents securely SSH into remote Linux hosts with read-only shell access. Instead of copy-pasting terminal output, your AI can run safe diagnostics, inspect logs, query systems, and troubleshoot production, staging, or dev environments autonomously. All commands are parsed, validated against a strict allowlist, and executed with timeouts and output limits—blocking destructive operations while guiding the LLM to safe alternatives.

Access 20+ DeFi, crypto, and AI endpoints through micro-payments. Get Aave rates, build DeFi transactions, fetch crypto prices, resolve ENS names, search Twitter, and query LLMs — all paid per-call with USDC on Base. No API keys needed, payment is the auth

Persistent semantic memory for Claude Code, chats AND code. 74+ MCP tools, local pgvector embeddings, codebase indexing with 14 language extractors, multi-agent team coordination. Self-hosted, zero cloud dependency.

Query multiple LLMs in parallel from AI coding tools. Ask a question to OpenAI, Gemini, Groq, or any OpenAI-compatible API — and CLI agents like Claude Code, Codex, and Gemini CLI — then compare answers, run consensus votes, structured debates, and judge evaluations. Rubber duck debugging, but the ducks talk back.

Security scanner MCP server that protects AI coding agents from generating vulnerable code. Uses tree-sitter AST analysis to detect OWASP Top 10 vulnerabilities, hardcoded secrets, and prompt injection attacks. Includes package hallucination detection across 4.3M packages (npm, PyPI, RubyGems, crates.io, pub.dev, CPAN, Raku). Works with Claude Desktop, Claude Code, Cursor, Cline, and any MCP-compatible client. Full feature list (for detailed descriptions): • 275+ security rules covering Python, JavaScript, TypeScript, Java, Go, Ruby, PHP, C/C++, Rust, C#, Terraform, Kubernetes • AST-based detection with tree-sitter (falls back to regex when unavailable) • Taint analysis for tracking user input to dangerous sinks • Package hallucination detection: verifies 4.3M+ packages across 7 ecosystems • Prompt injection detection: blocks exfiltration, jailbreaks, and malicious instructions • Automatic fix suggestions for common vulnerabilities • Zero config: works instantly with npx • CWE/OWASP metadata for compliance reporting

MCP server for GStreamer introspection and pipeline development. Helps LLMs understand GStreamer elements, caps, and pipeline construction.

RLM solves Claude Code's biggest limitation: memory loss. Every time you /compact or hit the context limit, your decisions, insights, and conversation history disappear. RLM fixes this with an MCP server that auto-saves before context loss, lets you store key decisions as searchable insights, and keeps your full conversation history in persistent chunks. Features include BM25 ranked search, fuzzy matching (typo-tolerant), multi-project organization, and smart retention that auto-archives old chunks. Inspired by MIT CSAIL's Recursive Language Models paper. Install in 3 lines, zero configuration needed.

I built this to give my AI assistants the latest information on model performance benchmarks provided by https://artificialanalysis.ai to make informed decisions on model choice.

Twitter/X analysis without token waste. Fetch tweets, download media. No API key required.

An MCP (Model Context Protocol) server for searching and fetching Unsplash photos with proper attribution. Built for LLM workflows that generate content pages and need compliant, ready-to-embed credits.

Description: The Neural Router for DepthOS. A polyphonic Model Context Protocol (MCP) server that orchestrates an ensemble of LLM specialists into a unified development hive mind. Implements the .depthos/touchpoint.md protocol for absolute project alignment.

Turn Claude or Cursor into your personal AI Financial Analyst. FinancialData.Net API provides end-of-day and intraday stock market data, company financial statements, key financial ratios and metrics, insider and institutional trading data, sustainability data, earnings releases, and much more. Over 20 years of historical data is available, including information on 17,000+ stocks, 20,000+ funds, 3,000+ ETFs, 13,000+ OTC securities, and 200,000+ derivatives.

AI-powered prompt refinement tool with adaptive questioning and multi-provider support. Provides 5 MCP tools (refine_prompt, tweak_prompt, list_models, list_providers, validate_environment) for intelligent prompt engineering. Supports Google Gemini, Anthropic Claude, OpenAI, Groq, Alibaba Qwen, and Zhipu GLM. Features adaptive task detection, interactive/structured modes, and session history management.

A Model Context Protocol (MCP) server that provides secure SSH capabilities for AI assistants, enabling remote command execution, SFTP file transfers, and port forwarding with comprehensive security controls. Features: - 🔐 Secure SSH Command Execution - Execute commands on remote servers with granular security controls - 🛡️ Host Allowlisting - Only connect to pre-configured, trusted servers - 📁 SFTP File Operations - Upload, download, list, and delete files on remote servers - 🌉 SSH Port Forwarding - Create secure tunnels to access remote services - 🔄 Connection Pooling - Persistent connections with automatic management - 🔑 SSH Key Authentication - Secure authentication using SSH private keys - ⚙️ SSH Config Integration - Import servers from your existing SSJ config file - ✅ Command Allowlisting - Restrict which commands can be executed - 📦 Named Services - Pre-configured port forwarding services for common use cases - 🎯 Command Templates - Reusable parameterized commands with variable substitution

**SlashMCP** is a production-grade AI workspace that connects LLMs to real-world data and tools through an intuitive chat interface. Built on the Model Context Protocol (MCP), it enables seamless interaction with multiple AI providers (OpenAI, Claude, Gemini) while providing powerful capabilities for document analysis, financial data queries, web scraping, and multi-agent workflow orchestration. ### Key Features: - **Multi-LLM Support**: Switch between GPT-4, Claude, and Gemini at runtime—no restart needed - **Smart Command Autocomplete**: Type `/` to discover and execute MCP server commands instantly - **Document Intelligence**: Drag-and-drop documents with automatic OCR extraction and vision analysis - **Financial Data Integration**: Real-time stock quotes, charts, and prediction market data via Alpha Vantage and Polymarket - **Browser Automation**: Web scraping and navigation using Playwright MCP - **Multi-Agent Orchestration**: Intelligent routing with specialized agents for command discovery, tool execution, and response synthesis - **Dynamic MCP Registry**: Add and use any MCP server on the fly without code changes - **Voice Interaction**: Browser-based transcription and text-to-speech support ### Use Cases: - Research and analysis workflows - Document processing and extraction - Financial market monitoring - Web data collection and comparison - Multi-step task automation **Live Demo:** [ slashmcp.vercel.app ]( https://slashmcp.vercel.app ) **GitHub:** [ github.com/mcpmessenger/slashmcp ]( https://github.com/mcpmessenger/slashmcp ) **Website:** [ slashmcp.com](https://slashmcp.com )

Real-time web search and crawling capabilities for AI assistants through Model Context Protocol (MCP)

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for seamless Claude Desktop and other LLM Client integration.

MCP server for Terraform — automatically validates, secures, and estimates cloud costs for Terraform configurations. The Binadox solution integrates with any Model Context Protocol (MCP) client (e.g. Claude Desktop or other MCP-compatible AI assistants).

A Model Context Protocol (MCP) server that allows you to manage your daily routine TickTick tasks with LLMs!

Let your LLM find the right tool automatically – no manual setup for each tool! MCPIndex is a Model Context Protocol (MCP) server that enables LLMs to automatically discover and invoke suitable MCP tools, eliminating the need to manually find and configure suitable MCP tools for every task.

This server exposes Dokku's management capabilities through the standardized Model Context Protocol (MCP), allowing Large Language Models (LLMs) to interact with and manage a Dokku instance.

Agentic assistant that handles the complexity while you focus on results. With MCP support and advanced Orchestrator/Agent capabilities, BB connects to hundreds of external data sources & tools and breaks down complex tasks for maximum efficiency.

**Context Keeper** 基于LLM驱动的智能上下文记忆管理系统，专为AI Agent提供企业级记忆能力。 **核心创新**：独创"宽召回+精排序"架构，通过两阶段LLM协作实现多维度检索融合（向量+时间线+知识图谱），准确率从传统RAG的45%提升至**75%+**，召回率达**80%+**。 **技术亮点**：完整实现MCP协议（HTTP/WebSocket/SSE三种传输），四维统一上下文模型（Project/Topic/Conversation/Code），支持短期/长期记忆智能转换。 **性能表现**：10000+ QPS并发能力，P95延迟<500ms，用户/工作空间完全隔离。 **开源生态**：MIT许可，Go语言实现，深度集成Cursor/VSCode IDE。让AI助手真正拥有持续记忆能力，告别重复解释，开启智能协作新时代。

AI assistants are powerful, but sometimes you still need the human touch — a real expert who understands your exact challenge and can solve it fast. That’s where GoPluto.ai comes in. GoPluto is the quick commerce of services, designed to connect you with the right live expert in minutes. Whether you’re stuck on a technical issue, need business guidance, or want creative input, simply Ask Pluto. Our system instantly matches you with verified service providers who can step in and resolve your problem on the spot. With GoPluto, you get the best of both worlds: ⚡ AI-powered discovery to surface the right context, categories, and providers 👨‍💻 Human expertise on demand, available in under 60 seconds 🔄 Seamless integration with your workflows — no switching tools or wasting time ✅ Verified knowledge and real solutions, not hallucinations or outdated docs GoPluto.ai = AI speed + human expertise. From query → expert → solution, all in minutes.

MCP Server for Driflyte (https://console.driflyte.com). The Driflyte MCP Server exposes tools that allow AI assistants to query and retrieve topic-specific knowledge from recursively crawled and indexed web pages. With this MCP server, Driflyte acts as a bridge between diverse, topic-aware content sources (web, GitHub, and more) and AI-powered reasoning, enabling richer, more accurate answers.

A powerful, intelligent shell assistant powered by local AI models through Ollama. Shell AI brings advanced AI capabilities directly to your terminal, enabling natural language interaction with your file system, shell commands, and development workflow.

MCP-Airflow-API is a Model Context Protocol (MCP) server that transforms Apache Airflow REST API operations into natural language tools for LLM integration. Built for DevOps engineers, data engineers, and Airflow administrators who need intuitive cluster management capabilities.