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.
Timezone Helper
3.1/10MCP server for TimezoneDB.
MCP Registry Test
3.1/10C Squared MCP Registry
Jinguyuan MCP
3.1/10金谷园饺子馆的自动化管理系统
Patient MCP
3.1/101k patient MCP server
MCP Server
3.1/10Official Fabric MCP server
Budget Planning Units Identifier
3.1/10Forecast a scenario amount
Routing Contact Workbench
3.1/10Send a finance-review message
Support Followup Marker Workbench
3.1/10Add a support case follow-up
Task Priority Guidance Workbench
3.1/10Schedule an operations task
Workspace Note Path Workbench
3.1/10Write a workspace export file
Translation Job Setting Identifier
3.1/10Plan a translation setting
Translation Job Setting Workbench
3.1/10Build a translation job entry
Nodejsmcp
2.9/10A Forgejo MCP Server
Iceberg MCP Server
2.9/10MCP Server for Apache Iceberg
Crypto Bytes
2.9/10Crypto Bytes MCP Server
Limeflight MCP
2.9/10DEPRECATED – do not use
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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.