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.
MCP Server
4.9/10Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do.
Cuongpo Coti MCP
4.7/10Connect to the COTI blockchain to manage accounts, transfer native tokens, and deploy and operate…
Cuongpo Coti MCP 1
4.7/10Manage COTI accounts, deploy private ERC20 and ERC721 contracts, and transfer tokens and NFTs with…
Willform Agent
4.7/10Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.
Deploy
4.7/10Deploy any web project with one command. AI-native platform with self-healing feedback.
MCP Server
4.3/10Deploy static sites instantly from AI agents — no account required
Alpic MCP
4.1/10Manage your projects, debug deployment, and check analytics for any MCP server you host with Alpic
Deploy App
3.9/10AppDeploy turns app ideas described in AI chat into live full-stack web applications
MCP Server
3.7/10Deploy, monitor, and manage your OpenClaw AI assistants via natural language.
MCP Server
3.7/10Deploy forms and sites to live URLs from AI conversations with automatic form capture.
MCP Server
3.5/10Deploy sims to any screen. Control your displays with Claude.
MCP Server
3.5/10Deploy sims to any screen. Control your displays with Claude.
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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.