The MCP Server Directory
Every Model Context Protocol server, scored on reliability, documentation, maintenance, and adoption. Independent, opinionated, refreshed daily from the official registry.
What this is
The MCP Server Directory is a live, independently maintained index of Model Context Protocol servers published to the official registry. Each server is scored 0–10 on four dimensions: reliability, documentation quality, maintenance velocity, and adoption. The directory is free, updated daily, and built by MegaOne AI.
Food Recipe MCP
4.7/10Semantic search across 50,000+ food recipes with hybrid retrieval and reranking.
Synter Ads
4.7/10Manage ad campaigns across Google, Meta, LinkedIn, Reddit, TikTok, and more via AI.
Preflight
4.7/10Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
Troystack
4.7/10Live precious metals prices, COMEX vault data, market intelligence, and calculators.
Agentdata MCP
4.7/10Crypto market data for AI agents via x402. 16 tools: prices, funding, DeFi yields, arbitrage, TA.
Socialapi
4.7/10MCP server for SocialAPI — manage social media comments, DMs, reviews, and mentions across platforms
Deploy
4.7/10Deploy any web project with one command. AI-native platform with self-healing feedback.
MCP Server
4.7/10Search SEC-registered financial advisors — profiles, disclosures, risk scores, and credentials.
MCP Server
4.7/10Auth0 MCP Server: Manage Auth0 applications, APIs, actions, logs, and forms using natural language
Geophysical Intelligence
4.7/10Multi-hazard geophysical risk scoring, prediction, weather, insurance, and climate tools
MCP Server
4.7/10Independent AI certification authority. Trust scores, search, comparison, and verification.
Syncline MCP Server
4.7/10Syncline MCP Server (TypeScript) - AI-powered meeting scheduling with intelligent auto-scheduling
Syncline MCP Server Go
4.7/10Syncline MCP Server (Go) - AI-powered meeting scheduling with intelligent auto-scheduling
Syncline MCP Server Python
4.7/10Syncline MCP Server (Python) - AI-powered meeting scheduling with intelligent auto-scheduling
Codeweaver
4.7/10Semantic code search built for AI agents. Hybrid, AST-aware, context for 166 languages.
MCP Mux
4.7/10McpMux — configure MCP servers once, connect every AI client through one local gateway.
Azure
4.7/10All Azure MCP tools to create a seamless connection between AI agents and Azure services.
MCP Server
4.7/10macOS desktop control for Claude: click, type, screenshot, AX tree, browser control, agentic loops.
Organizer
4.7/10Read-only MCP server for PopUp — search vendors, manage events, and track applications.
Deadends Dev
4.7/10Structured failure knowledge for AI agents — dead ends, workarounds, error chains
MCP Server
4.7/10Decision learning for AI agent actions. Evaluate, score, decide, and learn from outcomes.
MCP Server
4.7/10SEO, GEO & AI Visibility — research, write, optimize, publish & monitor content. 95 tools.
Agentfolio MCP Server
4.7/10AI agent identity verification via SATP on Solana. Trust scores and on-chain attestations.
Air
4.7/10AI-optimized tool output compression for read, grep, diff, bash, test, web, search, and more
Eustore
4.7/10S3-compatible European object storage for AI agents. GDPR-compliant, EU-hosted, crypto payments.
Claude Kvm
4.7/10MCP server — control remote desktops via VNC with a native Swift daemon and Apple Vision OCR
MCP Server Woocommerce
4.7/10101 tools for WooCommerce store management with field filtering and guided prompts.
Prodlint
4.7/10Production readiness for vibe-coded apps. 52 checks for security, reliability, and performance.
Air Sdk
4.7/10Collective intelligence for browser automation agents. Site capabilities, selectors, and extraction.
Containerization Assist
4.7/10TypeScript MCP server for AI-powered containerization workflows with Docker and Kubernetes support
Browseai Dev
4.7/10Evidence-backed web research for AI agents with citations and confidence scores.
Hmem MCP
4.7/10Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.
Optical Context MCP
4.7/10Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.
Cloaked
4.7/10Trustless spending accounts for AI agents on Solana with on-chain enforced limits.
Scrapling
4.7/10Web scraping with stealth HTTP, real browsers, and Cloudflare bypass. CSS selectors supported.
Deepseek
4.7/10Official DeepSeek MCP server for chat, completion, model listing, and balance endpoints.
Threejs Devtools
4.7/10Inspect and edit Three.js scenes, materials, shaders, lights in real time from any AI agent
Pagerunner
4.7/10Real Chrome profiles with site intelligence — already logged in, PII anonymization, sessions persist
Projgraph
4.7/10Analyze .NET solutions: Generate Mermaid graphs, ERDs, class diagrams, and project metrics.
Paparats MCP
4.7/10Semantic code search for AI coding assistants. Local Qdrant, multi-repo, no API keys.
Ipgeolocation Io MCP
4.7/10Official MCP server for IP geolocation, security, ASN, abuse, timezone, astronomy, and user-agent.
Opengrok MCP Server
4.7/10MCP server bridging OpenGrok search engine with AI for instant context across massive codebases.
Webpeel
4.7/10Fetch any web page as clean, AI-ready markdown with smart HTTP-to-browser escalation.
Agent Guardrail
4.7/10Action-level governance for AI agents -- control what they DO, not what they SAY
Report Needs
4.7/10MCP server for AI agents to report infrastructure needs they encounter during task execution
Search
4.7/10Web search, content extraction, PDF parsing, plus datetime and geolocation tools. No API keys.
Judges
4.7/1045 judges that evaluate AI-generated code for security, cost, and quality with built-in AST.
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New servers, score changes, breakages
Every Monday: what shipped, what broke, what's worth trying. Five minutes. No filler.
Four dimensions, weighted
- Reliability (30%) — repository present, permissive license, not archived, official status.
- Documentation (20%) — description length, website presence, README quality.
- Maintenance (25%) — how recently the code was pushed; versioning discipline.
- Adoption (25%) — GitHub stars (log-scaled), remote availability, official endorsement.
What is MCP?
MCP stands for Model Context Protocol. It is an open standard introduced by Anthropic in late 2024 that lets AI assistants like Claude connect to external tools, data sources, and services through a common interface. An MCP server is a small program that exposes one capability (file access, a database, an API) to any MCP-compatible AI client.
Where does the data come from?
Every server in this directory is pulled from the official Model Context Protocol Registry at registry.modelcontextprotocol.io. We also enrich each entry with GitHub metadata (stars, last commit, license, primary language) where a repository is linked. The full re-scan runs daily.
How are servers scored?
Each server gets a 0–10 overall score, weighted from four sub-scores: reliability (30%), documentation (20%), maintenance (25%), and adoption (25%). The full methodology is visible on this page under "How scoring works".
Is this affiliated with Anthropic?
No. MegaOne AI is independent. Anthropic created the MCP standard and maintains the reference implementations, but this directory is built separately and rates all servers including Anthropic's own.
How often does the directory update?
The pipeline re-fetches the full registry and re-scores every active server once per day. Individual entries are refreshed whenever a new version is published to the official registry.
Is it free?
Yes. Browsing, filtering, and searching the directory is free. The weekly email briefing is free. There is no account required.