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.
Canvas Lms MCP
4.1/10TypeScript MCP server for Canvas LMS — 165 tools across 42 domains.
MCP Server
4.1/10Entropy0 MCP server — source trust and URL safety tools for AI agents
MCP Server Apple Shortcuts
4.1/10MCP server for Apple Shortcuts via the macOS shortcuts CLI
MCP Server Fathom
4.1/10Fathom AI meeting transcription MCP server for Model Context Protocol hosts
MCP Server Freshdesk
4.1/10Freshdesk Support MCP server for Model Context Protocol hosts
MCP Server Gamma
4.1/10Gamma AI presentation generation MCP server for Model Context Protocol hosts
MCP Server Humaans
4.1/10Humaans HR platform MCP server for Model Context Protocol hosts
MCP Server Kling
4.1/10Kling AI video generation MCP server for Model Context Protocol hosts
MCP Server Mixmax
4.1/10Mixmax email productivity MCP server for Model Context Protocol hosts
MCP Server Napkin
4.1/10Napkin AI visual generation MCP server for Model Context Protocol hosts
MCP Server Openai Image
4.1/10OpenAI image generation MCP server for Model Context Protocol hosts
MCP Server Pandadoc
4.1/10PandaDoc document automation MCP server for Model Context Protocol hosts
MCP Server Servicenow
4.1/10ServiceNow ITSM MCP server for Model Context Protocol hosts
MCP Server Zendesk
4.1/10Zendesk MCP server for Model Context Protocol hosts
Safedb MCP
4.1/10A secure MCP server that lets AI agents query databases safely.
Figma Edit MCP
4.1/10Programmatically read, create, and modify Figma designs via MCP.
Ncloud
4.1/10MCP server for managing Naver Cloud Platform (Ncloud) infrastructure
Patents MCP
4.1/10Patent search and prior art discovery via Google Patents on BigQuery
Macos MCP
4.1/10MCP server for macOS desktop automation via the Accessibility API.
MCP Plesk Dev Docs
4.1/10An MCP server that indexes and retrieves Plesk documentation.
Over Reach Detector
4.1/10Detect when AI code changes exceed declared task scope (MCP server).
Meta Data MCP
4.1/10Query 76 open data APIs — government, science, finance, environment, and more.
Aihot MCP
4.1/10AI HOT 资讯 MCP Server - 让 Claude Code 直接获取 AI 行业日报和动态
Seedance MCP
4.1/10Seedance AI 视频生成 MCP Server - 让 Claude Code 直接生成 AI 视频
Bazos MCP
4.1/10MCP server for interacting with Bazos.cz and Bazos.sk
Aws Cli MCP Server
4.1/10Python MCP server for AWS CLI inspection and operations
Mysql MCP Server
4.1/10Python MCP server for MySQL database inspection and querying
Postgresql MCP Server
4.1/10Python MCP server for PostgreSQL database inspection and querying
Agent Release Auditor
4.1/10Deterministic release gate for AI-written code and coding agents.
Agentdomain MCP
4.1/10Register and manage internet domains for AI agents via AgentDomain
Census MCP Server
4.1/10Query U.S. Census Bureau data, variables, and geography via MCP.
MCP Ast Explorer
4.1/10Python symbol exploration for codebase onboarding agents.
MCP Repo Mapper
4.1/10Deterministic repository structure mapping for onboarding agents.
MCP Test Runner
4.1/10Local test execution and coverage summaries for onboarding agents.
Agentsafe
4.1/10Real-time URL trust scoring for AI agents. Blocks phishing and malicious sites.
MCP Fraudlabspro
4.1/10Fraud Prevention MCP server using FraudLabs Pro API.
MCP Ip2Whois
4.1/10WHOIS domain MCP server that query the WHOIS information using IP2WHOIS API.
Magento Cloud
4.1/10MCP server for Adobe Commerce Cloud — REST API + SSH, no PHP CLI required
Gnomon MCP
4.1/10Deterministic batch tools so LLM agents stop guessing dates and math.
Outline MCP
4.1/10Tree-structured knowledge base as an MCP server
Iflow Search
4.1/10MCP server for iFlow Search web search, image search, and URL fetch tools.
Amnesic
4.1/10Persistent semantic memory for SQL databases. Postgres, MySQL, MSSQL, SQLite.
Easyeda Pro MCP
4.1/10MCP server and EasyEDA Pro extension bridge for live project assistance.
Nutriref
4.1/10Pay-per-call USDA nutrition for AI agents (x402 micropayments in USDC on Base).
Dreamwork
4.1/10AI job search agent — browse listings, generate packs, auto-apply
Presence MCP
4.1/10Read-only MCP access to presence: living project model and outcome telemetry.
Eos MCP
4.1/10MCP server for Arista EOS device operations via eAPI
Claude Code Bridge
4.1/10Durable local-first MCP relay for independent coding agents.
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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.