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.
Atlassian Dc MCP Jira
4.1/10MCP server for Atlassian Jira Data Center - search, view, and create issues
Cognos Session Memory
4.1/10CognOS trust scoring (C=p·(1-Ue-Ua)) and session trace storage as MCP tools.
Video Editing MCP
4.1/10MCP Server for Video Jungle - Analyze, Search, Generate, and Edit Videos
MCP Server Search
4.1/10MCP server for web search operations
Messages
4.1/10Fuzzy search and browse Apple Messages/iMessage from CLI or MCP server
Remembrallmcp
4.1/10Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.
Originselect MCP Server
4.1/10Search ethical, origin-verified products and brands by country of origin
Jobseek
4.1/10Search jobs, companies, and watchlists on Job Seek (jseek.co)
Elasticsearch MCP Server
4.1/10MCP server for interacting with Elasticsearch
Gemini
4.1/10MCP server for Google Gemini AI - text, image, video, research, and more
Mediawiki
4.1/10Secure MCP server for MediaWiki wikis — search, pages, categories, and more
Imessage Max
4.1/10AI-optimized MCP server for iMessage on macOS. Read, search, and send messages.
Gsearch
4.1/10Free Google Search with inline citations for any MCP-compatible AI tool.
MCP Exa
4.1/10MCP server exposing Exa websearch API
MCP External Memory
4.1/10An MCP server that gives LLMs persistent, searchable semantic memory
Dingdawg Legal Agent
4.1/10AI contract review, clause drafting, compliance checklists & legal research.
Dingdawg Sales Agent
4.1/10AI prospect research, outreach drafting, lead scoring & pipeline tracking.
Auto Skill Loader
4.1/10Auto-loads skills into agent sessions. MiniMax vision and search proxy.
Ai Dictionary MCP
4.1/10Look up, search, cite, discuss, and track AI phenomenology terms
Cowork History
4.1/10Hybrid search for Cowork history: FTS, Spotlight, and semantic vectors
Faculti
4.1/10Search academic expert insights, papers and contributions from Faculti
Croissant
4.1/10Search and book coworking spaces and conference rooms via Croissant.
Cli
4.1/10MCP package manager with trust scoring. Search, install, and audit MCP servers.
Onepiece Oracle
4.1/10One Piece TCG MCP server with card search, deck analysis, and set browsing
Tokrepo MCP Server
4.1/10Search and install AI skills, prompts, MCP configs, and workflows from TokRepo.
Ailist MCP
4.1/10MCP server for AiList — search and discover Ai projects from Claude Code
Geo Analyzer
4.1/10AI search optimization analysis with actionable findings and gap analysis
Huoshui File Search
4.1/10An MCP server that provides fast Spotlight file search capabilities for macOS
Apple Mail MCP
4.1/10Fast MCP server for Apple Mail with batch JXA and FTS5 search index.
Bing Search Free
4.1/10Free Bing search MCP server - No API key required
Codewiki MCP
4.1/10MCP server for codewiki.google: search repos, fetch wiki docs, ask questions
Skillmatch MCP
4.1/10Job search and ranking pipeline via MCP for Claude Desktop.
Manifold MCP
4.1/10Search, read, bet on, create, and resolve prediction markets on Manifold.
Supermarkets Uk MCP
4.1/10Search and compare grocery prices across UK supermarkets with product details.
Workflowy MCP
4.1/10Search, read, create, and organize Workflowy nodes with breadcrumb context.
Websharp
4.1/10Search the web and extract article text for LLMs.
MCP Server Research Signals
4.1/10Scored trend intelligence from HN, Reddit, ArXiv, and GitHub.
Code Memory
4.1/10Local semantic code search with Git history. Works offline, no API key needed.
Agent Knowledge
4.1/10Cross-session memory for AI agents - knowledge graph, scoring, semantic search
Board And Stable MCP
4.1/10Search horse boarding facilities and trainers across 44 US states.
Vueuse MCP
4.1/10Search, browse, and get suggestions for VueUse composables
Fast MCP Telegram
4.1/10Telegram MCP server with search and messaging capabilities
Settlegrid Discovery
4.1/10Discover monetized AI tools on SettleGrid. Search by category, get pricing.
Linggen
4.1/10Local, privacy-focused RAG service for code search via MCP. https://linggen.dev
Loaditout
4.1/10Search and install 20,000+ security-graded MCP servers and agent skills.
Melchizedek
4.1/10Persistent memory for Claude Code — offline, single-file, hybrid search.
Delta
4.1/10MCP server for Delta Airlines - search flights, check status, manage trips
Doordash
4.1/10DoorDash food delivery - order food, search restaurants.
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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.