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.
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
Caldav MCP
4.1/10CalDAV calendar operations (list, create, update, delete events) as MCP tools.
Kubeleash
4.1/10Kubernetes MCP server with RBAC-style, context-scoped guardrails for AI agents.
Toggl MCP
4.1/10MCP server for Toggl Track — gives Claude access to your time tracking data
Taskchampion MCP
4.1/10MCP server for Taskwarrior 3.x, TaskChampion, and Timewarrior task management.
Workflows MCP Server
4.1/10Store, query, and create YAML workflow playbooks for LLM agents.
MCP Server
4.1/10Cities: Skylines II wiki, Encyclopedia, and mod workflow tools.
Collective Memory
4.1/10MCP server for persistent, semantic memory across AI sessions
Clarik MCP Server
4.1/10Clarity and memory persistent workspace context manager for Claude.
Duke Book
4.1/10Manage Duke Bookmark notes, categories, and knowledge search from MCP clients.
Grpc Invoke MCP
4.1/10MCP server for describing and invoking gRPC methods
MCP Email
4.1/10Email for AI agents — read inbox (IMAP), search, and send (SMTP).
Localgym MCP Server
4.1/10Read-only MCP server for UK gym search using the LocalGym Agent API.
MCP Gateway
4.1/10AuthzX MCP Gateway — policy-enforcing proxy between AI agents and MCP servers
Skylight MCP
4.1/10Skylight Calendar for Claude — family events, chores, and rewards.
Thealgorithms MCP
4.1/10Search TheAlgorithms across 24 languages; fetch implementations with examples.
Mcpwp
4.1/10MCP for WordPress — connect Claude, Cursor, or Windsurf to any WordPress site.
Mac Calendar MCP
4.1/10Read-only Mac Calendar MCP server with indexed archive search.
Mac Mail MCP
4.1/10Mac Mail MCP server with full-coverage FTS5 body search for local Apple Mail.
Dns Cache
4.1/10DNS/WHOIS/SSL/geo-IP cache MCP server for AI agents.
License Checker
4.1/10OSS license metadata + compatibility checker MCP server.
Package Meta
4.1/10npm/PyPI/Cargo package metadata + downloads + maintainer health.
Regulatory Deadline
4.1/10FinCEN/SEC/EU AI Act/GDPR deadline tracker for AI agents.
Claude Wrap MCP
4.1/10MCP server that spawns and drives Claude Code sessions via claude-wrap.
Parecode
4.1/10Token-aware ripgrep code search and atomic multi-file edits for coding agents.
MCP Server
4.1/10MCP server for AKKA Finance DEX aggregator — swap quotes, routes, and execution
Orm MCP
4.1/10MCP server for @mostajs/orm: generate, lint (24 rules) & migrate EntitySchemas.
Zapi MCP
4.1/10MCP server for the Zabbix API — daily brief, problems, hosts, items
Aippocampus
4.1/10Local-first, source-backed continuity for AI agents via stdio MCP.
One Shot Ui
4.1/10Deterministic UI extraction and screenshot diffing for AI coding agents.
Cadlens MCP
4.1/10Model Context Protocol server that wraps the CADLens REST API.
Screenshotrender MCP
4.1/10Capture website screenshots from any MCP client via the ScreenshotRender API.
Weather
4.1/10An MCP server for weather information.
Sauce Api MCP
4.1/10An open-source MCP server that provides LLM access to the Sauce Labs API
Tickscope MCP
4.1/10Real-time, free crypto market data for any AI agent — via MCP.
Buer
4.1/10Guardrail for AI coding agents: catches loops, regressions, and test-tampering.
Agent Audit MCP
4.1/10Immutable audit trail for agent-to-agent interactions
Agent Wallet MCP
4.1/10Agent wallet and budget management for AI agents
Agentpay Feed MCP
4.1/10Real-time agentic newsfeed for MCP tools and capabilities
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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.