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.
Linux Filesystem
3.3/10Enhanced Linux filesystem access with symlinks, permissions, and chmod support
Santuri
3.3/10Search official documentation for well-known libraries.
Avm MCP Server
3.3/10Discover and explore Azure Verified Modules from the Bicep Public Registry
Stockfish MCP
3.3/10A Stockfish MCP server to allow an LLM to play chess against Stockfish
Tickory MCP
3.3/10Tickory MCP server for Binance scans, alert events, and explainability.
MCP Stata
3.3/10A lightweight MCP server for Stata.
Satring MCP
3.3/10Discover and compare L402 + x402 paid API services from satring.com
Apiiro
3.3/10Ship software securely with an AI AppSec Agent
Policycheck
3.3/10AI seller verification and policy risk analysis for any online store.
Evidra
3.3/10Evidra — Flight recorder for AI infrastructure agents
Hn MCP Server
3.3/10Model Context Protocol server for HackerNews API access.
Football Docs
3.3/10Searchable football data provider docs for AI coding agents.
Akshare One MCP
3.3/10MCP server that provides access to Chinese stock market data using akshare-one
MCP Server
3.3/10Architecture visibility and control for agentic engineering.
Think MCP
3.3/10Intent security pre-flight checks for autonomous AI agents.
Verify MCP
3.3/10Sub-cent factual claim verification against live data sources.
MCP Api
3.1/10GoMarble MCP API Server
Skybridge
3.1/10Test server
Unblocked MCP
3.1/10Unblocked MCP Server
MCP Server
3.1/10Official Notion MCP server
Remote MCP Server
3.1/10Coupler.io remote MCP server
Whiteboard
3.1/10Whiteboard MCP server
Blockscholes MCP Server
3.1/10NaN - DO not use, test.
Workmagic MCP
3.1/10WorkMagic MCP
Clouddj
3.1/10cloud_dj
Email MCP
3.1/10Description of my MCP server
Email MCP
3.1/10Description of my MCP server
Email MCP
3.1/10Description of my MCP server
Email MCP
3.1/10Description of my MCP server
Gueguesser Chatgptapp
3.1/10Geography Guesser game
Linkup Company Research
3.1/10Description of my MCP server
Mcpimmo
3.1/10Description of my MCP server
Node Email MCP
3.1/10Description of my MCP server
Node MCP
3.1/10Description of my MCP server
Qa Test Cli
3.1/10Testing publish command
Send Email
3.1/10Description of my MCP server
Alpic Poc Frontend
3.1/10Description of my MCP server
Demo
3.1/10Description of my MCP server
Email MCP
3.1/10Still WiP
Email MCP
3.1/10Still WiP!
Email MCP
3.1/10Still work in progress
Everything App
3.1/10Still WiP
Everything App
3.1/10Still WiP
MCP Server Template Nodejs
3.1/10Non functional server (yet)
MCP Server Template
3.1/10Server not ready (yet!)
MCP Server Template
3.1/10Work in progress
MCP Server Template
3.1/10Not ready (yet!)
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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.