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.
Vector Memory
3.7/10Semantic document memory using Redis vector store. Save and recall files with natural language.
Mantisbt MCP Server
3.7/10MantisBT MCP server – manage issues, notes, files, tags, and relationships. With semantic search.
Lit MCP
3.7/10MCP server for academic literature databases (arXiv, DBLP) to accelerate research using LLMs.
Vulcan File Ops
3.7/10MCP server for AI assistants: read, write, edit, and manage files securely on local filesystem.
Local Skills MCP
3.7/10Universal MCP server for local filesystem skills with lazy loading and context-efficient discovery
Agent Directory
3.5/10AI agent directory — search and compare 120+ agents across 12 categories.
Pdf Tools
3.5/10Extract text and tables from PDFs, merge documents, and get metadata.
Octofs
3.3/10Standalone MCP filesystem tools server — view, edit, shell, ast-grep, workdir.
Pdfkit
3.3/10AI-powered PDF tools: fill forms, merge, extract data, and split PDFs
Linux Filesystem
3.3/10Enhanced Linux filesystem access with symlinks, permissions, and chmod support
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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.