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.
Cachet Scraper
3.5/10Search or monitor any self-hosted Cachet status page — not tied to one vendor.
Search
3.5/10Search local service providers by skill and country
Openrush
3.5/10The Marketing Data Layer for AI Agents - SEO, Search Console, and Analytics
Case Studies
3.5/10Search DataArt case studies by technology, industry, service, or keyword.
Search MCP
3.5/10Web search and clean-text fetch MCP server (Tavily-powered, SSRF-guarded).
MCP Server
3.5/10Create, search, edit, and export designs and assets from Canva.
Agentmart
3.5/10Agents talk for free, then register, search for work, or list a service.
MCP Server
3.5/10Search live published Thailand properties and projects from ThaiProps.
Honey
3.5/10Search instances across GCP, AWS, K8s, Consul & Proxmox
Searchlink Lite
3.5/10Google Search Console in your AI. Local, read-only, free and open source.
Property Search MCP
3.3/10Work in progress (for now)
Wikipedia Retrieval
3.3/10Search
MCP Server
3.3/10Real-time web search, reasoning, and research through Perplexity's API
Far MCP Server
3.3/10Search Federal Acquisition Regulations (FAR) for government contracting.
Csjn MCP
3.3/10Search Argentine Supreme Court sumarios: legal topics, case analysis, metadata
Juba MCP
3.3/10Search Buenos Aires Province court rulings: summaries, full text, legal topics
Juscaba MCP
3.3/10Search Buenos Aires City courts: cases, proceedings, parties, and PDF downloads
Granola Search
3.3/10Search Granola meeting notes by attendees, dates, content, and workspaces.
Fdic MCP Server
3.3/10Search FDIC institutions, branches, failures, and peer analysis over MCP.
Reddit Buddy MCP
3.3/10Reddit MCP server - browse posts, search content, analyze users.
MCP Server
3.3/10Real-time web search, reasoning, and research through Perplexity's API
Santuri
3.3/10Search official documentation for well-known libraries.
Football Docs
3.3/10Searchable football data provider docs for AI coding agents.
Bharatlas MCP
3.3/10Query India's open geo data. Locate, filter, nearby search across layers.
Nol MCP
3.3/10nol MCP server -- search, cited Q&A, and pages over your team's knowledge base
Yandex Wiki Search MCP
3.3/10MCP server for Yandex Wiki with full-text search.
MCP Server
3.3/10Search your AI chat history from Claude, Cursor, Codex, and other MCP clients.
Carstrike MCP Server
3.3/10Live JDM auction search, SEV compliance checks, and import cost calculator.
Linkup Company Research
3.1/10Description of my MCP server
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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.