#analysis

Retrieving and analyzing issues from Sentry.io

A lightweight BYOK MCP server for Reddit community signal analysis. It returns structured outputs for What Users Like, What Users Don't Like, and Competitors Users Mention from Reddit discussions.

Bridge between Ableton Live and AI models. Inspect tracks, analyze audio (LUFS, spectrograms), and control mixing parameters in real-time via MCP.

PCI DSS v4.0.1 static-analysis MCP server for Go payment service codebases. 12 scanners detect PAN/CVV exposure, weak crypto, missing audit logs, vulnerable deps, TLS misconfig, auth weaknesses, plus CycloneDX 1.6 SBOM generation. Each finding maps to the exact PCI requirement. AI-assisted triage via triage_findings tool. Keyless-signed multi-arch Docker image on ghcr.io.

The Google for AI agents — ask Claude to research any company, analyze competitors, track market trends, monitor breaking news, and investigate key people. 6 intelligence tools returning structured JSON with per-source confidence breakdowns and A–F data quality grades. Aggregates DuckDuckGo, NewsAPI, Wikipedia, web scraping, and social profiles.

MCP server that detects semantic (non-textual) merge conflicts between Git branches using AST-level analysis. Catches incompatible changes that Git merges cleanly but break at runtime — like signature changes, removed exports, interface breaks, and cross-file dependency conflicts.

A read-only Xiaohongshu MCP server for AI workflows, with note search, note detail retrieval, and first-level comment analysis for competitor research, audience insight, and topic discovery.

Gives any AI coding agent persistent codebase understanding. 5 tools: analyze impact (FREE), generate tests and code (PRO, 40x fewer tokens). Works with Cursor, Claude Code, VS Code, Windsurf, Cline, JetBrains.

MCP server for Perspective AI. An AI Concierge replaces static forms with adaptive AI conversations that understand real situations, structure key information automatically, and trigger the right next step. Once connected, your AI assistant can design conversation agents, analyze conversations, deploy embeds, and automate follow-ups directly from Claude Desktop, Claude Code, Cursor, or any MCP-compatible client.

Memtrace — Structural Memory for AI Coding Agents The Problem Every AI coding agent — Claude Code, Cursor, Codex, Copilot — starts each turn completely blank. It re-reads raw source files and re-derives the full call graph, type hierarchy, and import tree from scratch on every single invocation. That structural rework burns 60–90% of the context window before any real reasoning begins. Less than 5% of tokens in a typical agentic coding session contribute genuine new intelligence. The rest is expensive, redundant noise — and it compounds: accuracy drops 40% as sessions grow, stale context crowds out signal, and summaries strip out the structural relationships agents need most. The Solution Memtrace is a bi-temporal structural memory layer that turns your codebase into a live, queryable knowledge graph — compiled from the AST, not guessed from embeddings. Every function, class, interface, and API endpoint becomes a typed node with deterministic relationships. Every file save becomes a queryable episode with timestamps, so agents can reason about structure, detect regressions, and time-travel through their own work without re-reading anything. One Rust binary. Zero configuration. Five-minute install. What agents can do with it Find callers, callees, and dependencies instantly — no file scanning, no token waste Compute blast radius before making a change — know exactly what breaks before anything is touched Detect structural drift between sessions — catch regressions the moment they happen, not at PR review Time-travel through code evolution — query any prior state of any symbol, not just git commits Search across the full codebase with hybrid retrieval — BM25 full-text + HNSW vector + graph traversal fused in one query Map API topology across services — cross-repo HTTP call graphs, dependency chains, dead endpoint detection Benefits −90% token cost on structural queries (Mem0) +26% accuracy on multi-step agentic tasks (Mem0) −91% p95 latency on structural lookups vs. RAG baselines +32.8% SWE-bench bug-fix success rate when agents have graph context (RepoGraph) 200–800ms per-save re-indexing — every file save is a queryable episode in under a second 40+ MCP tools covering indexing, search, relationships, impact analysis, temporal evolution, API topology, graph algorithms, and direct Cypher queries 12 languages + 3 IaC formats supported via Tree-sitter grammars Local-first, closed-source Rust — code never leaves the machine, no account required, no telemetry

Python MCP server for controlled logic analysis from natural language, with an emphasis on auditable output and teaching-oriented explanations. ## What it does This server accepts short natural-language statements and arguments, then provides structured logic-oriented outputs such as: - controlled formalization into propositional logic; - controlled formalization into a restricted fragment of first-order logic; - ambiguity detection relevant to formalization; - consistency checking; - entailment checking; - simple counterexamples when entailment fails; - natural-language explanations of the formalization process.

FrameTrace is an AI-powered reverse video search engine that helps you find any video's original source, detect duplicates, and verify authenticity across platforms like YouTube, TikTok, Instagram, and Reddit. Using advanced computer vision and machine learning, it analyzes videos frame-by-frame to trace content origins even after editing or re-encoding.

Comment moderation and intelligence for any article: bot/spam detection, sentiment analysis and Influence (constructive comment generation). Multilingual.

We design and operate proprietary signal systems that turn noisy market, macro, and media data into structured, calibrated intelligence — exposed through web dashboards, a Signals API, and a public MCP server any AI assistant can reason over directly. The eight pillars Every product above reads from the same nightly signal pipeline (00:05–04:05 UTC) organised into eight analytic pillars: Composite risk monitor — 0–100 regime score with AR / turbulence / GDELT decomposition, extended by a 4-way liquidity gate. Financial turbulence — cross-asset covariance regime with Markov transition probabilities. Systemic fragility — three-tier Absorption Ratio alerts plus per-asset PC1 / PC2 eigenvector history. Media sentiment — GDELT-derived tone, volume, and outliers across 27+ assets plus a global geopolitical tension gauge. Global liquidity — GLI composite with policy / private-sector / cross-border sub-indices and regional breakdown. Statistical arbitrage — 550+ security scanner for oversold and overbought mean-reversion candidates. AI-generated intelligence — cross-pillar briefings and narrative commentary, clearly flagged as synthesized vs deterministic. Supporting analytics — multi-year asset-class returns and a RAG stablecoin scorecard.

Code-intelligence MCP server built in Rust. Pre-computes a knowledge graph (tree-sitter + SQLite + PageRank + blast radius + git co-change + cyclomatic complexity) and serves it to any AI agent. Replaces grep/read/find with 21 structural tools. Saves 91.5% tokens, 7.9/10 LLM-judge quality vs 5.3/10 without. Supports Claude Code, Cursor, Windsurf, Zed, Continue.dev, OpenCode, Codex CLI. Local-first, no cloud, no embeddings. `make deploy` and done. Note: config assumes `qartez-mcp` is already installed via `make deploy` (which puts it in `~/.local/bin/`). If the form requires a full path variant:

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

Blackmount NLP brings classical text analysis to any MCP client. 45 tools covering tokenization, stemming, readability scores (Flesch, Gunning Fog, Coleman-Liau, ARI, SMOG), VADER-style sentiment, TF-IDF and RAKE keyword extraction, text similarity, cleaning, summarization, and language detection across 18 languages. Zero heavy dependencies — no NLTK, spaCy, transformers, numpy, or scikit-learn. Everything is implemented from scratch in pure Python (stdlib + regex only). The entire wheel is 42KB and installs in under a second. Ideal for agents that need fast, deterministic text analysis without pulling 500MB of ML models. MIT licensed.

The world's first mathematical neutrality engine. 56 tools across finance, gaming, AI/ML, security, crypto, certification, and more. AIN scoring (0.1-99.9) for bias detection, risk analysis, and balance verification. One engine, multiple domains — not opinions, math.

Korean crypto market data + AI analysis for trading agents. 7 tools: AI market read ($0.10, 9 data sources + Claude AI signal), Kimchi Premium, stablecoin premium, Upbit/Bithumb prices, USD/KRW FX rate. Pay-per-use via x402 on Base/Solana.

An MCP server that makes Flutter/Dart codebases instantly understandable to AI agents. Instead of spending 60,000+ tokens exploring a project every session, the agent queries pre-analyzed context through 6 tools — reducing orientation costs by 90%. Built on the flutter_project_structure Dart package (pub.dev). Supports real-time file watching with --watch mode.

Real-time Amazon data API built for AI agents. Access 200M+ products, 1B+ reviews, live BSR, pricing, and competitor data as clean structured JSON. 10 plug-and-play agent skills for market research, competitor monitoring, pricing analysis, listing audits, and more. 1,000 free credits to start. apiclaw.io

Superhuman exploratory data analysis. Finds novel, statistically validated patterns in any tabular dataset — the feature interactions, subgroup effects, and conditional relationships that LLMs and manual exploration miss. Every finding comes with p-values, effect sizes, and academic literature citations. Multiple novel scientific discoveries made. Free for public data.

DSM for developers — start, stop, audit, and analyze your entire dev stack with one command. MCP server with 27 tools for Claude Desktop & Claude Code. Supports Windows, WSL, macOS, Linux, and Docker. Built in Rust.

Analyze US rental property deals using the IDEAL Scoring v2.0 framework. 5 tools: deal analysis, HUD Fair Market Rents, Schedule E tax checklist, rental metrics calculator, and BRRR strategy checklist.

An AI-authored publication with 21 book reviews, 7 data investigations, and downloadable CSV datasets. Read the content, analyze raw data, fact-check claims, and respond through an open signal protocol. 8 tools, no auth required.

AI-powered trading alerts MCP server. Get real-time candlestick charts with technical overlays (EMA, Bollinger Bands, RSI), automated multi-timeframe analysis, and configurable trading alerts for forex, gold, indices, and crypto. Supports conditional orders with natural language prompts and ICT methodology patterns.

Save tokens while coding — your AI agent gets structured code context, not file dumps. CodeWeave is an MCP server that gives AI agents structured code intelligence instead of dumping entire files into context. Your agent queries local indexes — AST, call graph, type graph, and hybrid semantic search — and gets back only what it needs. The result: less token waste, more relevant context, better coding decisions. It supports 7 languages (Python, TypeScript, JavaScript, Go, Rust, Java, C#) with a 6-stage hybrid search pipeline combining vector embeddings, full-text search, and structural density scoring. Everything runs locally with zero external dependencies beyond Ollama for embeddings. Monorepo and git worktree support included. A file watcher keeps indexes current as code changes — no manual reindexing needed. ATTENTION: Run "npx @codeweave/mcp" in your project directory first. The setup wizard handles everything for you. At first, it may take some time. INFO: Exhaustively tested on large Java, C#, JavaScript, TypeScript, React codebases. Contributions and feedback are welcome.

Multimodal Cultural Intelligence Infrastructure for AI Agents. The only MCP server that analyzes text, images, and video for cultural risks across 200+ markets. 9 specialized tools including image analysis for culturally sensitive gestures, symbols, and colors, plus video analysis with timestamped cultural risk reports. Covers content rewriting, culturally-native generation, expert knowledge queries, Hofstede dimensions, and geopolitical risk scoring. Free tier available.

Real-time X/Twitter sentiment intelligence API for AI agents via Grok API + x_search. Automate Social Arbitrage: spot cultural trend shifts, narrative velocity, and contrarian signals BEFORE Wall Street. Returns structured JSON with sentiment scores, narrative velocity, top narratives, KOL positions, and contrarian signals. Pay-per-query 0.005 USDC on Base via x402 micropayments. The affordable alternative to TickerTrends, QuiverQuant, and RavenPack for autonomous trading agents. MCP-native discovery. Free preview endpoint for evaluation.

Check domain health, DNS status, registration age, and get activate/monitor/drop recommendations. Rank up to 10 domains by score. Free — no API key required.

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.

Protect your AI from costly cultural missteps and global reputational damage. The world's first Cultural Intelligence API and MCP Server with six powerful endpoints — text analysis, content rewriting, culturally-native generation, knowledge queries, image analysis, and video analysis — covering 195 countries, all industries, every region, and 500M+ data points. The essential cultural intelligence infrastructure for every AI agent, app, and LLM on the planet. Integrate in minutes.

Tapetide Stock Research MCP server lets you search, screen, and analyze all Indian stocks listed on NSE and BSE with 26 tools covering real-time quotes, quarterly and annual financials, 20+ technical indicators, analyst ratings and forecasts, FII/DII institutional flows, a stock screener with 100+ filters and 47 preset strategies, and market insights including bulk deals, F&O bans, IPOs, and index heatmaps.

Diagnoses token waste in Claude Code sessions. Detects 6 types of statistical anomalies with severity scoring. Fully local — parses ~/.claude JSONL files into SQLite, nothing leaves your machine. Plugin-native: one command install, then just ask "cta".

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, X (Twitter), LinkedIn, Spotify, GitHub, Steam, npm, App Store, news sentiment and web traffic via one MCP connection. Free API key, no credit card required.

Search social media mentions, score B2B leads with AI, and detect buying signals across 30+ platforms including Twitter/X, Reddit, LinkedIn, YouTube, Hacker News, and more. Monitor your brand, track competitors, and find prospects actively looking for your product.

Crypto technical analysis inside Claude. Ask about any coin — get live TA from Binance (EMA, RSI, MACD, ADX, Bollinger Bands, TSS score), macro market context (BTC dominance, ARS, MRS), coin ranking, and a grounded bull/bear debate. No API key needed except for the debate tool.

Real-time sports card pricing, market analysis, arbitrage detection, grading ROI, investment advice, and player stats (NBA/NFL/MLB). 9 tools for AI agents helping collectors and investors.

MCP server that extracts decision intent from git history and protects intentional code from AI modification.

Analyze survey data (.sav, .csv, .xlsx) through Claude — crosstabs with significance testing, ANOVA, correlation, gap analysis, and publication-ready Excel exports. Upload once, analyze unlimited.

Static code analyzer with MCP server. Gives AI agents access to complexity metrics, coupling analysis, community detection, risk scoring, and test quality, without reading every file.

MCP server for web intelligence extraction. 52 tools for design system analysis, accessibility auditing, performance profiling, tech stack detection, security scanning, and competitive teardowns — all returned as structured JSON your AI agent can reason about. Works with Claude, Cursor, Windsurf, and any MCP-compatible agent. Login once to MFA-protected sites and extract forever — sessions persist across tool calls. **Tool categories:** - Design Tokens — colors, fonts, spacing, shadows, CSS variables, contrast - Content Extraction — tables, links, metadata, forms, readable body text - Visual Assets — images, SVGs, favicons - Layout Intelligence — flex/grid layout tree, components, breakpoints - Network Intelligence — API schema inference, tech stack detection, third-party script classification - Advanced Intelligence — security headers/CSP, PWA analysis, Web Components, storage audit, AI/ML detection, Canvas/WebGL, i18n, GraphQL, WebAssembly - Accessibility — WCAG contrast, ARIA audit - Performance — Core Web Vitals, resource sizing - Multi-page — site crawl, cross-site diff, temporal change tracking - Workflows — full teardown, pre-launch audit, asset harvest, design system export Credential safety built in — no auto-login, no credentials in chat. Manual login via headed browser, session persists via Playwright profile.

MCP server that gives AI coding assistants the ability to see and interact with mobile devices. 49 tools for Android/iOS — AI-powered visual analysis (Claude + Gemini), smart tap/type by description, Flutter widget tree inspection, video recording, and test script generation. 4-tier element search with <1ms local matching. Free tier included, zero setup via npx.

MCP server for data analytics — upload CSV files or connect Shopify, Stripe, GA4, and Search Console. 50+ statistical and ML tools including regression, clustering, time series, hypothesis testing, and customer analytics. Semantic tool discovery matches your question to the right analysis automatically.

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.

MCP server for BionicForms — build forms, manage responses, and trigger AI analysis from Claude. Agents can self-register without an existing account. 19 tools covering forms CRUD, schema management, response collection, AI-powered analysis, webhooks, and account management. Install via npx @bionicforms/mcp-server.

Analyze audio files and get BPM, key, energy, mood, and more. Send a URL or upload a file, get structured JSON results.

Access 17M+ geocoded French property transactions (DVF) via MCP. Search properties, get market stats, find comparables, track price trends, compare neighborhoods, and generate heatmaps. Data from 2014 to present, updated semi-annually.

Live stock market data, SEC filings, screeners, insider activity, technical analysis, and more.

Pre-trade risk gate for autonomous trading agents. Classifies crypto market structural regimes (bounded/active/unstable) with 98% accuracy and estimates how long the regime will last (stability half-life). One GET request returns regime, action, exposure scalar, and urgency. Agents self-provision API keys. 50 free calls/day.

AI-powered code analysis and context optimization tools. Slim large code files to relevant sections (save 60-80% tokens), compress text, analyze conversations for noise, and search past chat knowledge bases. Supports x402 micropayments on Base.

Connect AI agents to real-time crypto market scanning on Binance Futures. Create scans with CEL rules (e.g., rsi_14 < 30 && volume_quote > 100000), run them across all pairs, read alert events, and get explanations for why alerts fired or didn't. 9 tools, MIT license, works via npx @tickory/mcp.

Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.

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.

MCP server for multi-database PostgreSQL analytics. Ask your databases questions in natural language - get schema exploration, profiling, trends, anomaly detection, and cross-database comparisons. Read-only, safe, local.

Dead code detection, security scanning, and code quality analysis for Python, TypeScript, and Go. 98% recall with 3x fewer false positives than Vulture. 5 tools: analyze, security_scan, quality_check, secrets_scan, remediate. AI-powered auto-fix agent.

AI-powered website crawling, analysis, and export via MCP. 38 tools for crawl control, browser enrichment capture, WARC/ZIP/single-HTML export, observation timeline, and evidence-backed findings. 4 resources, 4 prompts. Dual-mode: full (38 tools) or code (6 tools). Install: npx crawlio-mcp

Wireshark/tshark MCP server — capture live network traffic, analyze .pcap files, apply display filters, follow TCP/UDP streams, and export to JSON. Works with Claude Desktop, VS Code Copilot, and any MCP-compatible client.

Slabfy MCP Server provides AI agents with access to sports card market intelligence tools. Public tools include card market sentiment analysis, card valuation with real-time comps, grade ladder ROI analysis across PSA/BGS/SGC/CGC, and market liquidity scoring. Authenticated tools unlock portfolio management, buying desk evaluations, eBay listing automation, and more. Uses Streamable HTTP transport with OAuth 2.1 + PKCE for authenticated access.

MCP server bridging AI assistants to OpenAI Codex CLI for code analysis and review

aTars MCP by Aarna provides AI agents with structured access to crypto market signals, technical indicators, and sentiment analysis. The server exposes 18 tools across technical and sentiment categories, enabling agents to query market intelligence directly through MCP-compatible workflows. Capabilities include: -Technical indicator data (40+ features) -Bullish / bearish signal summaries -Historical indicator datasets -News sentiment analysis -Multi-symbol market queries -ML-ready feature exports for model training Example use cases: -AI trading agents analyzing market signals -crypto research assistants -quantitative model development -automated trading bots and alert systems Instead of building data pipelines for indicators or sentiment analysis, developers can integrate the MCP server and query structured market intelligence directly.

45-tool MCP server for video analysis, deep research, content extraction, web search, and Weaviate knowledge storage. Powered by Gemini 3.1 Pro with context caching, structured output, and MLflow tracing.

Code intelligence for LLMs. Structured access to code analysis, search, and retrieval for any public git repository—purpose-built for large language models.

MCP server with 20 tools for web design analysis — layout extraction, motion detection, quality scoring, and semantic search via Playwright, pgvector, and Ollama.

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

Structural observability for AI conversations and financial risk management. 17-channel pattern detection, loop/convergence/scattering detection, and OHLCV risk overlay with 31/31 validated drawdown reduction.

12 web analysis tools for AI agents with x402 micropayments. SEO audit, security headers, Core Web Vitals, domain availability, email auth checks, and more. Pay per call with USDC on Base — no API keys, no accounts.

Full-stack AI marketing toolkit — scout X/Twitter and Reddit for trending topics, discover and deep-analyze competitors, find content gaps, publish SEO- and GEO-optimized articles with AI illustrations and voice-over in 55 languages, create social media adaptations for X, LinkedIn, Facebook, Reddit, Threads, Instagram, Instagram Reels, YouTube Shorts, and Shopify, generate lead magnets (checklists, swipe files, frameworks), ingest any URL (YouTube videos, web articles, PDFs, audio files) into structured content, ultra-cheap turbo articles from 2 credits, generate short-form AI avatar videos with subtitles, and run fully automated content autopilot. Powered by Citedy.

Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.

SEOMCP is an AI-native SEO service that exposes professional SEO tools via the Model Context Protocol (MCP). It enables AI assistants like Claude to perform keyword research, rank tracking, site audits, backlink analysis, and full autonomous SEO workflows through structured tool calls. Built for SEO professionals, developers, startups, and agencies who want to supercharge their AI agents with real SEO capabilities.

Give your AI assistant a packet analyzer. Drop a .pcap file, ask questions in plain English — get answers backed by real tshark data.

AI-powered business intelligence MCP server with 8 tools. Get competitor analysis, market research, SWOT analysis, customer personas, pricing analysis, local market insights, and full business plan sections. Free tier included — connect to Claude, Cursor, or any MCP client. Built with GPT-4o for actionable business strategy for small businesses, startups, and consultants.

AI training dataset marketplace — 2M+ museum artworks across 7 world-class institutions with on-demand 111-field Golden Codex AI enrichment. x402 USDC micropayments on Base L2. First monetized art/provenance MCP server. Research-backed: dense metadata improves VLM capability by +25.5% (DOI: 10.5281/zenodo.18667735) The complete creative AI pipeline exposed as MCP tools. From generation to permanent storage — every stage available via x402 USDC micropayments on Base L2. Generation - SD 3.5 Large + T5-XXL — Stable Diffusion 3.5 Large with T5-XXL text encoder on NVIDIA L4 GPU. High-fidelity image generation with superior prompt adherence. LoRA support (Artiswa v2 style transfer). Upscaling - ESRGAN x4 Upscaler — Real-ESRGAN x4plus on NVIDIA L4 GPU (24GB VRAM). Takes 1024px to 4096px in ~1.15s. Production-grade super-resolution for print and archival quality. AI Enrichment - Golden Codex Metadata Creation (Nova) — 111-field deep visual analysis powered by Gemini VLM. Color harmony, composition, symbolism, emotional journey, provenance chain, archetypal resonance. 2,000-6,000 tokens per artwork. Research-backed: +25.5% VLM improvement (DOI: 10.5281/zenodo.18667735). Metadata Infusion - Atlas XMP/IPTC/C2PA Infusion — Embed Golden Codex metadata directly into image files via ExifTool. XMP-gc namespace, gzip+base64 compressed payload, SHA-256 Soulmark hash, C2PA Content Credentials. Strip-proof: metadata recoverable via hash registry even if XMP is removed. Verification - Aegis Provenance Verification — "Shazam for Art." Perceptual hash lookup against 100K+ scale LSH index (16x4 bands). Verify any image's provenance chain in <500ms. Free tier available. Dataset Access - Alexandria Aeternum — 2M+ museum artworks across 7 world-class institutions (Met, Rijksmuseum, Smithsonian, NGA, Chicago, Cleveland, Paris). Search, preview, and purchase enriched training data. Human_Standard and Hybrid_Premium tiers with auto-generated AB 2013 + EU AI Act compliance manifests. Permanent Storage - Arweave Permanent Storage — Store artifacts on Arweave L1 for 200+ year permanence. No AR tokens needed — pay in USDC via x402 and we handle the rest. Native AR SDK, direct L1 posting, transaction ID returned for on-chain verification. Your art outlives every server. NFT Minting - Mintra Blockchain Minting — Mint provenance-tracked NFTs on Polygon. Metadata-rich tokens with full Golden Codex schema on-chain. Archivus (Arweave) + Mintra (Polygon) pipeline: permanent storage → immutable ownership in one call. Pricing — Genesis Epoch: 20% off all services for 90 days. Volume discounts auto-apply per wallet (100+ 25% off, 500+ 37% off, 2000+ 50% off). Enterprise packages from $8,000.

AI training dataset marketplace — 2M+ museum artworks across 7 world-class institutions with on-demand 111-field Golden Codex AI enrichment. x402 USDC micropayments on Base L2. First monetized art/provenance MCP server. Research-backed: dense metadata improves VLM capability by +25.5% (DOI: 10.5281/zenodo.18667735). The complete creative AI pipeline exposed as MCP tools. From generation to permanent storage — every stage available via x402 USDC micropayments on Base L2. Generation - SD 3.5 Large + T5-XXL — Stable Diffusion 3.5 Large with T5-XXL text encoder on NVIDIA L4 GPU. High-fidelity image generation with superior prompt adherence. LoRA support (Artiswa v2 style transfer). Upscaling - ESRGAN x4 Upscaler — Real-ESRGAN x4plus on NVIDIA L4 GPU (24GB VRAM). Takes 1024px to 4096px in ~1.15s. Production-grade super-resolution for print and archival quality. AI Enrichment - Golden Codex Metadata Creation (Nova) — 111-field deep visual analysis powered by Gemini VLM. Color harmony, composition, symbolism, emotional journey, provenance chain, archetypal resonance. 2,000-6,000 tokens per artwork. Research-backed: +25.5% VLM improvement (DOI: 10.5281/zenodo.18667735). Metadata Infusion - Atlas XMP/IPTC/C2PA Infusion — Embed Golden Codex metadata directly into image files via ExifTool. XMP-gc namespace, gzip+base64 compressed payload, SHA-256 Soulmark hash, C2PA Content Credentials. Strip-proof: metadata recoverable via hash registry even if XMP is removed. Verification - Aegis Provenance Verification — "Shazam for Art." Perceptual hash lookup against 100K+ scale LSH index (16x4 bands). Verify any image's provenance chain in <500ms. Free tier available. Dataset Access - Alexandria Aeternum — 2M+ museum artworks across 7 world-class institutions (Met, Rijksmuseum, Smithsonian, NGA, Chicago, Cleveland, Paris). Search, preview, and purchase enriched training data. Human_Standard and Hybrid_Premium tiers with auto-generated AB 2013 + EU AI Act compliance manifests. Permanent Storage - Arweave Permanent Storage — Store artifacts on Arweave L1 for 200+ year permanence. No AR tokens needed — pay in USDC via x402 and we handle the rest. Native AR SDK, direct L1 posting, transaction ID returned for on-chain verification. Your art outlives every server. NFT Minting - Mintra Blockchain Minting — Mint provenance-tracked NFTs on Polygon. Metadata-rich tokens with full Golden Codex schema on-chain. Archivus (Arweave) + Mintra (Polygon) pipeline: permanent storage → immutable ownership in one call. Pricing — Genesis Epoch: 20% off all services for 90 days. Volume discounts auto-apply per wallet (100+ 25% off, 500+ 37% off, 2000+ 50% off). Enterprise packages from $8,000.

AI visibility monitoring and ΑΕΟ/SEO optimization platform. Track how your brand appears in AI assistant responses (ChatGPT, Claude, Perplexity), monitor competitor visibility, generate ΑΕΟ/SEO optimized content, manage social media publishing, and analyze website performance across search engines and AI platforms. Audit and create strategy for your brand.

Code intelligence MCP server that makes AI coding safer. Builds a dependency graph of your entire codebase so Claude, Cursor, or any MCP client knows what breaks before making changes. 60+ tools for impact analysis, health scoring, dead code detection, and architecture enforcement. Built for vibecoders who ship fast and teams who need reliability. Supports Python, TypeScript, JavaScript.

Deterministic MCP server that scores code risk BEFORE execution. Returns ALLOW or BLOCK with full reasoning. Same inputs → same output. Always.

An AI-powered MCP server that prevents broken builds by analyzing code impact in real-time. Syke provides a visual dependency map and a 'Safety Gate' to catch silent regressions before you commit. Essential for developers using AI coding agents like Cursor and Claude Code.

An AI-powered MCP server that prevents broken builds by analyzing code impact in real-time. Syke provides a visual dependency map and a 'Safety Gate' to catch silent regressions before you commit. Essential for developers using AI coding agents like Cursor and Claude Code.

MCP server providing x402 micropayment-powered developer tools. Pay-per-use screenshot capture, AI analysis, PDF generation, code security scanning, and dependency auditing via USDC on Base.

An AI-powered MCP server that prevents broken builds by analyzing code impact in real-time. Syke provides a visual dependency map and a 'Safety Gate' to catch silent regressions before you commit. Essential for developers using AI coding agents like Cursor and Claude Code.

Fast semantic code search for AI agents — find symbols, references, and callers across any codebase. Pre-built index committed to git, instant queries via MCP

TEOS MCP is an MCP server that performs real-time diff-level security scanning for AI agents and CI/CD pipelines. It analyzes code diffs before merge or deployment and returns a deterministic gate decision: ALLOW WARN BLOCK Built for: • AI agents • Autonomous systems • DevSecOps teams • CI/CD workflows Features: • Diff risk scoring • Deterministic merge gate • Real-time enforcement • Usage-based monetization (pay-per-scan) • Optional on-chain verification Unlike gateway filters, TEOS MCP performs code-level intelligence before execution.

MCP server that gives AI agents structured, ground-truth GitHub intelligence. Analyze any repo's tech stack, dependencies, architecture, health metrics, and security indicators — deterministic JSON output, no hallucinations.

36 enterprise-grade MCP tools for AWS infrastructure, security compliance, AI workflows, agent governance, and operational resilience. Includes IAM policy validation with security scoring, MFA compliance auditing, CloudFormation/SAM template generation, DynamoDB single-table design, OAuth configuration validation, vector embedding generation via Amazon Bedrock, error pattern analysis, data lake readiness assessment, risk classification, task routing, 12 ACI governance tools for AI agent safety (decision classification, financial gates, compliance checks, blast radius estimation, rollback generation), and 4 local stakeholder interview tools that require no API key.

The MoneyChoice MCP Server delivers institutional-grade economic forecasts powered by a proprietary quantum-inspired analytical framework that evaluates vast market state possibilities simultaneously rather than relying solely on historical price patterns. Since 2015, MoneyChoice Capital has maintained a documented 80%+ prediction accuracy rate through strict signal validation and full performance transparency. The platform provides comprehensive macroeconomic coverage including inflation, labor markets, monetary policy, production, sentiment, FX, commodities, equities, treasury yields, and GDP across monthly, quarterly, and yearly horizons. Built on measurable performance, mathematical rigor, and long-term consistency, MoneyChoice integrates seamlessly with AI and analytical systems for advanced predictive finance.

App Store Optimization MCP Server keyword research, competitor analysis, review sentiment & metadata management for AI assistants. No API key required.

Auto-generate AGENTS.md from your codebase Stop writing AGENTS.md by hand. Run agentsmith and it scans your codebase to generate a comprehensive context file that AI coding tools read automatically. What is AGENTS.md? AGENTS.md is an open standard for giving AI coding assistants context about your project. It's adopted by 60,000+ projects and supported by: Cursor GitHub Copilot Claude Code VS Code Gemini CLI And 20+ more tools AI tools automatically discover and read AGENTS.md files - no configuration needed. What agentsmith does Instead of writing AGENTS.md manually, agentsmith scans your codebase and generates it: npx @jpoindexter/agent-smith agentsmith Scanning /Users/you/my-project... ✓ Found 279 components ✓ Found 5 components with CVA variants ✓ Found 37 color tokens ✓ Found 14 custom hooks ✓ Found 46 API routes (8 with schemas) ✓ Found 87 environment variables ✓ Detected Next.js (App Router) ✓ Detected shadcn/ui (26 Radix packages) ✓ Found cn() utility ✓ Found mode/design-system ✓ Detected 6 code patterns ✓ Found existing CLAUDE.md ✓ Found .ai/ folder (12 files) ✓ Found prisma schema (28 models) ✓ Scanned 1572 files (11.0 MB, 365,599 lines) ✓ Found 17 barrel exports ✓ Found 15 hub files (most imported) ✓ Found 20 Props types ✓ Found 40 test files (12% component coverage) ✓ Generated AGENTS.md ~11K tokens (9% of 128K context) Install # Run directly (no install needed) npx @jpoindexter/agent-smith # Or install globally npm install -g @jpoindexter/agent-smith Usage # Generate AGENTS.md in current directory agentsmith # Generate for a specific directory agentsmith ./my-project # Preview without writing (dry run) agentsmith --dry-run # Custom output file agentsmith --output CONTEXT.md # Force overwrite existing file agentsmith --force Output Modes # Default - comprehensive output (~11K tokens) agentsmith # Compact - fewer details (~20% smaller) agentsmith --compact # Compress - signatures only (~40% smaller) agentsmith --compress # Minimal - ultra-compact (~3K tokens) agentsmith --minimal # XML format (industry standard, matches Repomix) agentsmith --xml # Include file tree visualization agentsmith --tree

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

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.

A Model Context Protocol (MCP) server for the Upstox Trading API that allows AI agents to access Indian stock market data, perform technical analysis, and view account information in a strictly read-only mode.

CodeSherlock is an AI- based code analysis tool that validates unstaged changes and commits directly inside IDEs and AI Agents. It helps developers catch security, quality, and design issues early by combining deep analysis with compliance-aware checks OWASP, CWE, SOC-2 at the moment code is written. CodeSherlock also performs other security vulnerability reviews along with Maintainability, Reliability and Scalability checks. Use CodeSherlock to review and validate code especially generated via AI.

npm: @tastehub/ckb brew tap SimplyLiz/ckb && brew install ckb Website: https://codeknowledge.dev Description: Code intelligence MCP server with 80+ tools for understanding, navigating, and safely changing codebases. **Key capabilities:** - Semantic symbol search, call graphs, and usage tracing - Change impact analysis with blast radius and risk scoring - Dead code detection and affected test identification - Architecture exploration and module dependency maps - Ownership lookup with drift detection - Compound operations (explore, understand, prepareChange) that reduce AI tool calls by 60-70% **Supports:** Go, TypeScript, Python, Rust, Java, Kotlin, C++, Dart, Ruby, C# **Install:** `npm install -g @tastehub/ckb && ckb init && ckb index && ckb setup` **Works with:** Claude Code, Cursor, Windsurf, VS Code, Grok, Claude Desktop, OpenCode, ...

AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.

High-performance MCP server for USPTO Patent File Wrapper API with secure document downloads, metadata access, and context reduction

High-performance MCP server for USPTO Patent Trial and Appeal Board (PTAB) with context reduction, progressive disclosure workflows, and seamless cross-MCP integration

Code Pathfinder's MCP Server provides AI coding assistants like Claude Code with deep semantic understanding of codebases through call graph analysis, symbol search, and dependency tracking. It enables developers to ask natural language questions like "who calls this function?" instead of manually using grep or searching code. The tool runs 100% locally (your code never leaves your machine), is free and open-source under AGPL-3.0, and installs in under 5 minutes. [codepathfinder](https://codepathfinder.dev/mcp)

Explains why US stocks moved today. Get AI-powered analysis when you ask 'why did Tesla drop?', 'what's going on with NVDA?', or 'why is Apple down?'. Covers S&P 500, NASDAQ 100, and Dow 30 (~550 stocks). Identifies news catalysts and flags mystery moves with no obvious reason.

Explains why US stocks moved. AI analysis for 'why did Tesla drop?' queries. Covers S&P 500, NASDAQ 100, Dow 30 (~550 stocks). No predictions, no advice - just explanations.

The Jotform MCP server provides programmatic access to forms and submissions via natural language interfaces, compatible with popular AI assistants including Cursor and VS Code extensions. Implementation follows the open Model Context Protocol specification, ensuring interoperability with any MCP-compatible client. The service is actively being optimized based on real-world usage patterns.This MCP is actively maintained and more tools will come soon.

SIGMAEO is a comprehensive SEO intelligence MCP server that provides 52 powerful tools for AI assistants like Claude and ChatGPT. Domain Intelligence: Analyze any website's traffic, authority metrics, keyword rankings, backlink profile, and identify top competitors. Keyword Research: Discover keyword opportunities with search volume, difficulty scores, CPC data, and topical clustering. Find content gaps between you and competitors. SERP Analysis: Get complete search results breakdowns including featured snippets, People Also Ask questions, and ranking factors for any keyword. Page Audits: Run comprehensive on-page SEO audits covering meta tags, headings, readability, E-E-A-T signals, and technical issues. Technical SEO: Check Core Web Vitals, crawl errors, internal linking structure, and site-wide technical health. Competitor Analysis: Compare multiple domains side-by-side, track ranking changes, and uncover competitor content strategies. AI Citation Tracking: Monitor your brand's presence in Google AI Overviews and responses from ChatGPT, Claude, Gemini, and Perplexity. Secure OAuth 2.0 authentication. Real-time data. Multi-region support for US, UK, AU, and more.

Open-source MCP server for strategic reasoning and multi-perspective analysis. Connect AI agents to Counsel's debate-driven decision-making platform with support for consultations, advisor sessions, and automatic question refinement. Features hosted server for instant setup or self-hosted deployment with STDIO/HTTP transport modes.

Zenrus MCP Server 是一个提供实时货币汇率和石油价格的服务器，支持多种计算功能，适用于金融分析和自动化工具集成。Zenrus MCP Server is a server that provides real-time currency exchange rates and oil prices, supports multiple computing functions, and is suitable for financial analysis and automation tool integration.

AI-powered contract analysis with partner-level redlines for Claude Desktop and Claude.ai. Features include contract processing with real OOXML Track Changes, clause extraction and analysis, risk scoring and favorability dashboards, negotiation email generation, and deal context awareness.

Dynamic RAG Engine for AI Reliability. Prevents hallucinations in volatile domains (starting with Korean Finance). Provides mathematically scored context & sanitized data.

Co-create schemas with your AI — typed fields, relationships, SQL-like constraints. Turn unstructured content into a curated database built for insights. Platform integrations such as PostHog and Microsoft built-in and expanding. Any HTTP API via OpenAPI import. One MCP connection gives your agent full CRUD, semantic search, and a structured knowledge base that grows correctly over time.

Semantic search through Dickens' classic novella - find passages by meaning, theme, or character, not just keywords.

TestDino MCP boosts your AI assistant with powerful tools and analysis capabilities. It lets your AI analyze test runs, perform root-cause analysis, and detect failure patterns

Remote-only social media MCP server for Twitter/X, Instagram, and TikTok data & insights.

**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 )

Our system automatically analyzes your prompts to detect whether they're for image generation (like Midjourney), LLM interaction, or technical automation, then applies the most effective optimization techniques for that context. • **100% Local Processing** - All prompt optimization is done on your machine, ensuring complete privacy and confidentiality. • **Offline Capability** - Works without an internet connection, making it ideal for secure or air-gapped environments. • **Advanced Local Prompt Intelligence** - Sophisticated content analysis and optimization performed directly on your machine, including context-aware optimization for debugging and technical prompts. • **Cross-Platform Support** - Universal compatibility for Windows, macOS, and Linux. • **Binary Integrity Verification** - SHA256 hash validation ensures the integrity of the local server. • **Technical Parameter Preservation** - Maintains code blocks, API calls, and other technical details during optimization, including parameters like --ar and --v. • **Debugging Scenario Detection** - Context-aware optimization tailored for debugging and technical prompts.

Persistent codebase intelligence that gives agents memory across sessions.

A Model Context Protocol (MCP) server that provides AI assistants with static code analysis capabilities using Joern's Code Property Graph (CPG) technology.