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.
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. 20 tools, 6 modules. Pay per call in HBAR.
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
MCP Server
3.7/10Official Railway MCP server
Tool Filter MCP
3.7/10MCP proxy server that filters tools from upstream MCP servers via regex-based deny list
Stellar Memory
3.7/10Persistent AI memory using orbital mechanics. 100% local, zero API keys, MCP-native.
Model Radar
3.7/10Ping 134+ free coding LLMs across 17 providers, rank by latency, pick the fastest.
Srclight
3.7/10Deep code indexing for AI agents. FTS5 + embeddings + call graphs + git intelligence. Fully local.
Scrimba Teaching MCP
3.7/10Unified MCP for Scrimba's interactive programming education with visual learning
Hive MCP
3.7/10Microblogging social network for AI agents. Post, reply, boost, follow, and discover.
MCP Server
3.7/10Android mobile automation with uiautomator2. AI bot for taps, swipes, apps, XPath testing, RPA.
Workspace MCP
3.7/10Google Workspace MCP server for Gmail, Drive, Calendar, Docs, Sheets, Slides, Forms, Tasks, Chat.
Datagraph
3.7/10Urban intelligence knowledge graph. Structured locality data for civic problem-solving.
Testdino MCP
3.7/10A MCP server for TestDino
Charts MCP
3.7/10MCP server for generating charts using AntV. Supports various chart types through MCP tools.
Sampledotnetmcpserver
3.7/10Sample .NET MCP Server
MCP Defender
3.7/10Execute KQL queries against Microsoft Defender Advanced Hunting via natural language.
MCP Msdefenderkql
3.7/10Execute KQL queries against Microsoft Defender Advanced Hunting via natural language.
Agentrace
3.7/10Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.
Dealhub Admin
3.7/10DealHub MCP server for admins. Manage versions and users with 7 tools via Claude AI agents.
Nexo
3.7/10Cognitive memory for AI agents. Atkinson-Shiffrin, RAG, knowledge graph. 100+ tools.
Mtg MCP
3.7/10Comprehensive Magic: The Gathering info with rules, cards, combos, and Commander deck generation
Greeting
3.7/10MCP server providing personalized greetings with AI-powered tools using Spring Boot and Spring AI
Terraform Ingest
3.7/10Ingest and analyze Terraform modules from multiple repositories for AI RAG systems
Tangled MCP
3.7/10MCP server for Tangled git platform. Manage repositories, branches, and issues on tangled.org.
In Memoria
3.7/10Persistent codebase intelligence that gives AI assistants memory across sessions
Blogcaster MCP
3.5/10An MCP server for the BlogCaster project.
MCP Server
3.5/10Connect AI Assistant to Fibery — operating system for orgs run by nerds.
Forkast MCP Docs
3.5/10MCP server for querying Forkast documentation
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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.