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.
Promptguardscan MCP
4.1/10Paid remote MCP for LLM security scans, jailbreak checks, analytics, checkout, and readiness.
Quantifyme
4.1/10Describe a trading strategy in plain English and deploy a live signal model in one call. No signup.
Nuget
4.1/10A Model Context Protocol (MCP) server for NuGet.
MCP Server
4.1/10A Model Context Protocol Server for Pica
MCP Server
4.1/10Smart LLM routing across every major provider via one OpenAI-shape API.
Langfuse
4.1/10MCP server for Langfuse LLM observability — trace and observation analysis.
Professionalwiki Mediawiki MCP Server
3.9/10Enable Large Language Model clients to interact seamlessly with any MediaWiki wiki. Perform action…
Brandonbosco Sigao Scf MCP
3.9/10Provides access to Civic Plus - See Click Fix, allowing you to interact with your data via an LLM.…
Anotherai
3.9/10MCP server for building and testing AI agents with multi-model experimentation and insights.
Apollo Salesforce Mapper
3.9/10Apollo->Salesforce Lead mapper. No LLM. Strict-fail required fields. PASS/REPAIR/FAIL verdict.
Geo
3.9/10AI visibility monitoring. 24 tools, 8 LLM platforms, Hallucination Guard. Free tier.
Navisworks MCP
3.9/10Navisworks coordination and clash detection via APS — reports, viewpoints, model objects.
MCP Server
3.9/10Run 150+ AI apps — image, video, audio, LLMs, 3D and more. Browse, execute, stream results.
MCP Server
3.9/10Provides capabilities that let LLM agents perform a range of infrastructure management tasks.
MCP Server
3.9/10Build zero-shot video models for object detection, and category and attribute classification.
Cannon Studio
3.9/10Public Cannon Studio MCP for product, pricing, workflow, model, and API answers.
Pimea
3.9/10The hidden intelligence for AI marketing agents. Real campaign data, not LLM guesses.
Nces Education
3.7/10School enrollment, graduation rates, demographics, finance, and Title I data
Investigation Game
3.7/10Find out who killed Claude by interrogating the LLM driven suspects...
Time S Up
3.7/10Skybridge Example App showcasing a Time's up game with the LLM
Hf MCP Server
3.5/10Connect to Hugging Face Hub and thousands of Gradio AI Applications
MCP Server
3.5/10Monetize and manage your Tip4Serv store directly from your LLM.
MCP Server
3.5/10MCP server that exposes the Lenderprice platform's capabilities to AI models.
Doing
3.5/10simple task manager for your LLM
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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.