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.
Aman Amith Shastry Scientific Computation MCP
5.8/10This MCP server enables users to perform scientific computations regarding linear algebra and vect…
Foqal
4.9/10Foqal turns Slack/Teams into efficient support platforms with AI-powered ticketing.
Smithery Ai Slack
4.7/10Enable interaction with Slack workspaces. Supports subscribing to Slack events through Resources.
Smithery Notion
4.7/10A Notion workspace is a collaborative environment where teams can organize work, manage projects,…
MCP Server
4.7/10Ultimate toolbox to connect your LLM to popular productivity tools such as Monday, AirTable, Slack
Ask
4.7/10Human-in-the-loop for AI coding agents — ask questions, get approvals via Slack.
Jira
4.3/10Track issues, manage projects, and streamline workflows in Jira.
MCP Server
3.9/10Official Todoist MCP server for AI assistants to manage tasks, projects, and workflows.
Linear
3.5/10MCP server for Linear project management and issue tracking
MCP Server
3.1/10Official Notion MCP server
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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.