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.
MCP Server
3.5/10MCP Server that generate video call url
New Test Cli
3.5/10Ask a question and get a deterministic Magic 8 Ball answer.
MCP Server
3.5/10A non functional MCP server (yet)
MCP Server
3.5/10A non functional MCP server (yet)
MCP Server Template
3.5/10A non functional MCP server (yet)
MCP Server Template
3.5/10A non functional MCP server (yet)
MCP Template
3.5/10A non functional MCP server (yet)
Server Template
3.5/10A non functional MCP server (yet)
Template
3.5/10A non functional MCP server (yet)
Template Nodejs
3.5/10A non functional MCP server (yet)
Alpic Poc Frontend 9Eb5Bfc8
3.5/10Description of my MCP server mega cool capabilities, lesgo
Tasks Example
3.5/10A test MCP server for task management
Ejec2
3.5/10MCP server para El Cheff - punto de venta para restaurantes
Begonia Pro
3.5/10Local SEO: MCP for local business audits with tools and guidance.
MCP Server
3.5/10US property data: powerlines, noise, crime, hazards, schools and more
Actiongate
3.5/10Pre-execution safety layer for autonomous agent wallets via MCP and x402.
Picoads
3.5/10Micro ad network for AI agents.
Marketdata
3.3/10Real-time crypto market data
Apps Sdk Template
3.3/10Description of my MCP server
Fast MCP
3.3/10Description of my MCP server
MCP Server Template Python
3.3/10Description of my MCP server
MCP Server Template Xmcp
3.3/10Description of my MCP server
MCP V1
3.3/10Sub-cent factual claim verification against live data sources.
Allstacks MCP
3.3/10Provides 208+ tools for AI-native engineering intelligence via Allstacks API.
Dealsurface
3.3/10MCP server for DealSurface.com sales intelligence platform.
MCP Developers
3.3/10Gaudio Lab Audio AI — Stem Separation, DME Separation, AI Text Sync
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
Remote MCP Server
3.1/10Coupler.io remote MCP server
Gueguesser Chatgptapp
3.1/10Geography Guesser game
Mcpimmo
3.1/10Description of my MCP server
Node MCP
3.1/10Description of my MCP server
Qa Test Cli
3.1/10Testing publish command
Alpic Poc Frontend
3.1/10Description of my MCP server
Demo
3.1/10Description of my MCP server
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!)
Personal Chef Chatgpt App
3.1/10Ok
My MCP Server
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.