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.
Remembermcp
3.7/10Private document cloud for MCP agents. Claim a link, then store and recall.
Cloudploy
3.7/10Deploy an app onto a server in your own cloud account.
Public MCP
3.7/10Read-only CloudMedico product information with verified source links.
Okahu
3.5/10Cloud hosted Okahu MCP server that helps you manage genAI trace data
MCP Server
3.5/10Deploy applications to Cloud Run
Jumpcloud Genai
3.5/10An MCP server that provides an API to LLMs to manage their JumpCloud resources.
Api
3.5/10Official MCP server for managing OVHcloud infrastructures, services & account
Zhiji Signal
3.5/10Market phase transition signals for HS300 and BTC via MCP
Agent Web Actions
3.5/10Stealth web automation for AI agents. Login, signup, navigate, screenshot.
Ai Video Generator
3.5/10AI video generation API with x402 USDC payment. TTS voiceover, animated text.
Agent Web Actions
3.5/10Stealth web automation for AI agents. Login, signup, navigate, screenshot.
MCP Server
3.5/10OpenAI-compatible LLM MCP (7 tools); chat via balance key or x402 USDC on Base
MCP Server
3.5/10Cloud printing integration for AI-assisted app development via ezeep.
Server
3.5/10AI-powered Amazon ECS workload management
Server
3.5/10AI-powered Amazon EKS cluster management and troubleshooting
Historian MCP Server
3.3/10MCP server for querying Factry Historian.
Agkit
3.3/10AgentKit management-plane CLI + MCP server (agkit).
Clouddj
3.1/10cloud_dj
Free · No spam
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.