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
4.9/10The official Svelte MCP server providing docs and autofixing tools for Svelte development
Ref Tools Ref Tools MCP
4.7/10Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…
MCP Server
4.5/10Upload any file, get a tracked shareable link. DocSend for AI agents.
Jooq MCP
4.3/10An MCP server that provides access to the jOOQ documentation
Docs MCP
4.3/10Get authoritative answers to questions about Redpanda.
Docs MCP
4.3/10Provides Vaadin Documentation and help with development tasks
Hmr
4.3/10Docs for hot-module-reload and reactive programming for Python (`hmr` on PyPI)
MCP Server
4.3/1031 tools for blockchain data, live chain queries, and API documentation
Docs
4.1/10Publish markdown documents as public share links with mermaid diagram support. Built by AutEng.ai
MCP Server
4.1/10Create on-brand marketing deliverables and GTM docs with AI-powered blueprints and brand guidelines.
Medusa MCP
3.9/10Retrieve information from the Medusa documentation to assist you with your Medusa development.
Docs
3.5/10An MCP server for docs.continue.dev
MCP Docs
3.5/10FusionAuth Documentation MCP server
Uno
3.5/10The Uno Platform MCP Server to get up-to-date docs and prompts
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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.