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.
Property Search MCP
3.3/10Work in progress (for now)
Robomart
3.3/10Driverless delivery.
Conjure
3.3/10Agentic commerce.
Belavista Sampa Br
3.3/10Aqui é a Bela Vista.
Auth Token MCP Service
3.3/10Auth Token MCP Service
Auth Token MCP Traced Service
3.3/10Auth Token MCP Traced Service
Authenticated Llm Agent
3.3/10Authenticated LLM Agent
Authenticated Llm Jwt Agent
3.3/10Authenticated LLM JWT Agent
Authenticated Llm MCP Agent
3.3/10Authenticated LLM MCP Agent
Authenticated MCP Agent Aed9D5
3.3/10Authenticated MCP Agent
Authenticated Multi Llm Agent
3.3/10Authenticated Multi-LLM Agent
Claude Schema Output Agent
3.3/10Claude Schema Output Agent
Encrypted Oauth Llm Agent
3.3/10Encrypted OAuth LLM Agent
Fastapi Auth Token Service
3.3/10FastAPI Auth Token Service
Google Oauth Langchain Agent
3.3/10Google OAuth LangChain Agent
Google Sign In Claude Agent
3.3/10Google Sign-In Claude Agent
Integration Agent
3.3/10Integration Agent
Llm Orchestration Agent 2 Df5979
3.3/10LLM Orchestration Agent 2
Llm Orchestration Agent D0A1A1
3.3/10LLM Orchestration Agent
Llm Orchestration Agent MCP
3.3/10LLM Orchestration Agent (Mcp)
Llm Orchestration Jwt Agent
3.3/10LLM Orchestration JWT Agent
Llm Orchestration MCP Agent
3.3/10LLM Orchestration MCP Agent
Minio And Redis Storage Stack
3.3/10MinIO and Redis Storage Stack
Nginx Redis Stack Generator
3.3/10Nginx + Redis Stack Generator
Oauth Langchain Openai Agent
3.3/10OAuth LangChain OpenAI Agent
Oauth Multi Llm Orchestrator
3.3/10OAuth Multi-LLM Orchestrator
Redis Minio Stack Generator
3.3/10Redis + MinIO Stack Generator
Structured Output Agent
3.3/10Structured Output MCP Agent
Traced Claude Format Guard
3.3/10Traced Claude Format Guard
Traced Llm MCP Proxy
3.3/10Traced LLM MCP Proxy
Traced Llm Proxy
3.3/10Traced LLM Proxy
Traced Multi Llm Proxy
3.3/10Traced Multi-LLM Proxy
Traced Openai Langchain Agent
3.3/10Traced OpenAI LangChain Agent
Flight Watch
3.3/10Live aircraft near an area
Launch Watch
3.3/10Rocket launch dates
Sports Events Results
3.3/10Track sports teams
Us Congress Watch
3.3/10Monitor US bills
Wikipedia Retrieval
3.3/10Search
Riftbound Guide
3.3/10符文戰場集換式卡牌新手規則與入門指南查詢。
Ai Glossary
3.3/10AI 與科技名詞白話解釋、概念比較與入門教學（繁體中文）。
Crypto Api
3.3/10台灣合規虛擬資產業者名單、詐騙網址檢查與加密貨幣稅務估算。
Digital Wellness
3.3/10睡眠時間計算、情緒量表自評與台灣遠距醫療資訊。
Life Info
3.3/10台灣國定假日、補班日、發票對獎、彩券開獎對獎與油價查詢。
Stock Themes
3.3/10台股 AI 題材概念股與高股息 ETF 資料查詢。
Travel 2027
3.3/102027 台灣連假、出國目的地擁擠度與機票訂票時機建議。
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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.