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.
Aidb
3.7/10Debug any supported language with breakpoints, variable/state inspection, and stepping.
Propresenter MCP
3.7/10ProPresenter 7 MCP server
Appium MCP
3.7/10MCP server for Appium mobile automation on iOS and Android devices with test creation tools.
Vynn MCP
3.7/10Self-improving AI workflows with backtesting, prompt optimization, and scheduling
Stylobridge
3.7/10Air-gapped Markdown/PDF to Word converter with brand templates and audit logging.
Agent Observability
3.7/10Agent observability: structured logging, cost tracking, and compliance audit trails
Append Log MCP
3.7/10A generic append-only log MCP server. Persist timestamped JSON entries and query them by recency.
Vettly
3.7/10Content moderation for AI applications. Moderate text, images, and video with configurable policies.
C2Pa MCP
3.7/10Read and verify Content Credentials (C2PA) from images and media using the c2pa Rust SDK
MCP Property Valuation Server
3.7/10MCP服务器，提供房产小区评级和评估功能
MCP Zmq
3.7/10MCP server for ZMQ messaging
Redshift MCP Server
3.7/10Secure, read-only access to Amazon Redshift with schema introspection and smart sampling
Percept
3.7/10Give your AI agent ears — ambient voice intelligence with 8 MCP tools for Claude Desktop
Weather MCP
3.7/10Weather forecasts, alerts, air quality, marine, radar imagery, lightning. NOAA + Open-Meteo.
Playwright MCP
3.7/10Playwright Tools for MCP
MCP Jira Server
3.7/10MCP server for self-hosted Jira instance with Personal Access Token authentication
Engineer Your Data
3.7/10MCP server for data engineering: validation, transformation, visualization, and APIs.
MCP Server
3.7/10GoReleaser MCP server
Jfrog Dummy MCP
3.7/10JFrog dummy MCP server
Bytario
3.7/1040 MCP tools for image, PDF, QR, barcode, data, text, color, and render operations.
Dead Drop Content
3.7/10Publish-ready articles on demand. Send a topic, get back SEO-optimized content with images.
Hopx MCP
3.7/10Execute code in isolated cloud containers. Supports Python, JavaScript, Bash, and Go.
Hostinger Api MCP
3.7/10MCP server for Hostinger API
Nansen MCP
3.7/10DEPRECATED - This server has been moved to io.github.nansen-ai/nansen-mcp. Do not use.
Vikunjamcp
3.7/10An MCP server that provides access to Vikunja, a self-hosted task management solution.
Korea Stock MCP
3.7/10MCP server for korea stock
Hello MCP Registry
3.7/10A simple MCP server.
Uniprot MCP
3.7/10Read-only UniProtKB via MCP (entries, sequences, features, GO, taxonomy, ID mapping).
Lustre
3.7/10Premium Flutter UI components for AI coding agents. 46 widgets, 3 themes, light/dark mode.
Datagraph
3.7/10Urban data for civic problem-solving: NYC subway, loneliness programs, violence prevention.
File Organizer
3.7/10Security-hardened file organizer with smart categorization and duplicate detection
Mathematica MCP
3.7/10MCP server for WolframScript
Skim MCP Server
3.7/10MCP server for Skim code transformation. Compresses code 60-95% for LLM context optimization.
Debtstack Ai
3.7/10Corporate credit data API for AI agents — bonds, leverage, guarantors, SEC filings
Qnap
3.7/10MCP server for QNAP NAS API
Hedera MCP Platform
3.7/10Hedera ecosystem intelligence for AI agents. 29 tools, pay per call in HBAR. HITL enforced.
Hederatoolbox
3.7/10Hedera blockchain intelligence for AI agents. 23 tools, 7 modules. HBAR micropayments. No signup.
Reddit MCP Server
3.7/10Reddit MCP Server via Apify
Anki MCP Server
3.7/10MCP server enabling LLMs to interact with Anki flashcard software through AnkiConnect
Depyler MCP
3.7/10MCP server for Depyler: Python-to-Rust transpiler with analysis and verification tools
Ruchy MCP
3.7/10MCP server for Ruchy: code analysis, scoring, linting, formatting, and transpilation tools
Playwright Wizard MCP
3.7/10MCP server providing Playwright test generation wizard with intelligent prompts and best practices
Qweather MCP
3.7/10a qweather mcp server
Pmat Agent
3.7/10Zero-config AI context generation and code quality toolkit with Claude Code Agent Mode support
Rash
3.7/10Transpile Rust code to POSIX-compliant shell scripts with formal correctness guarantees
In Memoria
3.7/10Persistent codebase intelligence that gives AI assistants memory across sessions
Agenthub
3.7/10Enables coding agents to coordinate edits, reviews, and escalations without file locking conflicts
Selenium MCP
3.7/10Selenium Tools for MCP
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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.