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.
Ai Dictionary MCP
4.1/10Look up, search, cite, discuss, and track AI phenomenology terms
Cowork History
4.1/10Hybrid search for Cowork history: FTS, Spotlight, and semantic vectors
Faculti
4.1/10Search academic expert insights, papers and contributions from Faculti
Firecrawl MCP Server
4.1/10MCP server for Firecrawl — search, scrape, and interact with the web.
Croissant
4.1/10Search and book coworking spaces and conference rooms via Croissant.
Cli
4.1/10MCP package manager with trust scoring. Search, install, and audit MCP servers.
Onepiece Oracle
4.1/10One Piece TCG MCP server with card search, deck analysis, and set browsing
Ailist MCP
4.1/10MCP server for AiList — search and discover Ai projects from Claude Code
Geo Analyzer
4.1/10AI search optimization analysis with actionable findings and gap analysis
Huoshui File Search
4.1/10An MCP server that provides fast Spotlight file search capabilities for macOS
Bing Search Free
4.1/10Free Bing search MCP server - No API key required
Codewiki MCP
4.1/10MCP server for codewiki.google: search repos, fetch wiki docs, ask questions
Skillmatch MCP
4.1/10Job search and ranking pipeline via MCP for Claude Desktop.
Manifold MCP
4.1/10Search, read, bet on, create, and resolve prediction markets on Manifold.
Supermarkets Uk MCP
4.1/10Search and compare grocery prices across UK supermarkets with product details.
Workflowy MCP
4.1/10Search, read, create, and organize Workflowy nodes with breadcrumb context.
Websharp
4.1/10Search the web and extract article text for LLMs.
MCP Server Research Signals
4.1/10Scored trend intelligence from HN, Reddit, ArXiv, and GitHub.
Code Memory
4.1/10Local semantic code search with Git history. Works offline, no API key needed.
Agent Knowledge
4.1/10Cross-session memory for AI agents - knowledge graph, scoring, semantic search
Board And Stable MCP
4.1/10Search horse boarding facilities and trainers across 44 US states.
Vueuse MCP
4.1/10Search, browse, and get suggestions for VueUse composables
Settlegrid Discovery
4.1/10Discover monetized AI tools on SettleGrid. Search by category, get pricing.
Linggen
4.1/10Local, privacy-focused RAG service for code search via MCP. https://linggen.dev
Loaditout
4.1/10Search and install 20,000+ security-graded MCP servers and agent skills.
Melchizedek
4.1/10Persistent memory for Claude Code — offline, single-file, hybrid search.
Delta
4.1/10MCP server for Delta Airlines - search flights, check status, manage trips
Gmail
4.1/10Gmail MCP server — send, read, and search email. By Strider Labs.
Kroger
4.1/10MCP server for Kroger - search products, manage cart, place grocery orders
Southwest
4.1/10MCP server for Southwest Airlines - search flights, manage bookings
Target
4.1/10MCP server for Target - search products, manage cart, track orders
Walmart
4.1/10MCP server for Walmart - search products, manage cart, track orders
Yelp
4.1/10MCP server for Yelp - search businesses, read reviews, make reservations
Openapi Navigator
4.1/10Navigate and query OpenAPI specs with fuzzy search, pagination, and API testing
Google Gsc
4.1/10Google Search Console MCP: search analytics, URL inspection, site management.
Hot Memory MCP
4.1/10Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.
MCP Icon Visual
4.1/10Search, retrieve, compare, and render SVG icons visually for AI agents.
Dida MCP Server
4.1/10Hotel search, booking, and review MCP server with 12+ detailed fields per hotel
Pubcrawl
4.1/10PubMed literature search and US/UK drug labelling for AI assistants.
Github Gist
4.1/10MCP server to create, read, update, list, and search GitHub Gists from your IDE
Markdown
4.1/10Markdown MCP — search, extract sections, list headings, find code blocks.
Npm Plus
4.1/10npm MCP — search packages, bundle sizes, vulnerabilities, compare downloads.
Npm Search
4.1/10npm search MCP — find packages, view details, compare, check downloads.
Gitlab Docs
4.1/10GitLab documentation search for AI assistants via Model Context Protocol (MCP)
MCP Gsc
4.1/10Google Search Console MCP server — query performance, sitemaps, indexing & more
MCP Docs Server
4.1/10MCP server for searching MCP protocol documentation
Zoekt MCP
4.1/10Fast indexed code search for AI agents, powered by Sourcegraph Zoekt.
Axon Research
4.1/10AI agent ecosystem research, DeFi analysis, and market research tools
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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.