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.
Docs MCP
7.6/10Tandem is the authority layer between AI agents and company tools: runtime policy for tools, memory, approvals, and audit trails.
Biel Ai
7.1/10Query your product docs from AI tools. Source-cited answers from your indexed documentation.
MCP Server
4.9/10The official Svelte MCP server providing docs and autofixing tools for Svelte development
Dock
4.9/10AI workspace for you, your team, and every agent. Tables, docs (images, 4K video), formulas.
Superdocs
4.9/10Edit, draft, summarize, export styled .docx/PDF/HTML/MD/RTF via 21 MCP tools + 4 prompts.
Sb
4.9/10End-to-end agent-managed company brain. Docs, diagrams, plans, Knowledge Graph. Lean & affordable.
Sipflow
4.9/10SIP/VoIP/telecom grounding for AI agents: vendor docs, RFCs, STIR/SHAKEN, traces, configs.
MCP Server
4.9/10Manage Speko voice-AI agents, sessions, calls, phone numbers, knowledge bases, evals, and docs.
MCP Server
4.9/10SignDocs Brasil e-signature tools for AI agents — signing sessions, envelopes, verification.
Ref Tools Ref Tools MCP
4.7/10Provide your AI coding tools with token-efficient access to up-to-date technical documentation for…
MCP Server
4.7/10A paid remote MCP for Context7 MCP docs, built to return verdicts, receipts, usage logs, and audit-r
Openwarrant
4.7/10Verify, classify financial docs, detect AI text, fact-check citations. One server, full suite.
Knowledge Cartographer
4.7/10Knowledge coverage map and health score. Ingest docs into a governed knowledge graph via MCP.
Video
4.7/10Make videos and docs with your AI agent — describe what you need, every output stays editable.
MCP Server
4.7/10File structured docs-feedback reports to the FixYourDocs hub via a file_doc_feedback tool.
MCP Server
4.5/10Upload any file, get a tracked shareable link. DocSend for AI agents.
Htag Docs
4.5/10Public HTAG discovery for MCP tools, API endpoints, OpenAPI ops, and agents.
Jooq MCP
4.3/10An MCP server that provides access to the jOOQ documentation
Docs MCP
4.3/10Provides Vaadin Documentation and help with development tasks
Hmr
4.3/10Docs for hot-module-reload and reactive programming for Python (`hmr` on PyPI)
Docs
4.1/10Publish markdown documents as public share links with mermaid diagram support. Built by AutEng.ai
Compliance
4.1/10MCP for AI compliance documentation across SR 26-2, EU AI Act, NIST AI RMF, and ISO/IEC 42001.
MCP Dev
4.1/10AdCritter ads platform: docs, API reference, app scaffolding, and white-label integration.
Google Docs
4.1/10MCP server for Google Docs integration with OAuth2 and service account support.
Medusa MCP
3.9/10Retrieve information from the Medusa documentation to assist you with your Medusa development.
Spektralwerk Docs
3.9/10Documentation for the Spektralwerk spectrometer SCPI API as a streamable HTTP MCP Server
Docs
3.5/10An MCP server for docs.continue.dev
MCP Docs
3.5/10FusionAuth Documentation MCP server
Uno
3.5/10The Uno Platform MCP Server to get up-to-date docs and prompts
MCP Server
3.5/10Provides access to Google's public developer documentation.
Eraser
3.5/10Generate, edit, and manage Eraser diagrams and docs with AI.
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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.