Production-ready MCP servers are easiest to identify by maintainer and maintenance status. This directory tracks 39 Model Context Protocol servers across 6 categories with install commands and GitHub activity. Official reference servers from the Model Context Protocol project and vendor-owned servers such as Cloudflare, Stripe, and Supabase are the safest starting points; 8 early reference servers are now archived upstream and should not be used for new deployments.
Use How to Use for execution steps and FAQ for constraints, policies, and edge cases.
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How to Use MCP Server Directory
1
Browse by category
Filter MCP servers by category (databases, APIs, productivity, file systems). Each category shows popular servers with install commands and descriptions.
2
Copy install command
Use the Copy control next to any server to copy the exact installation command (npm, pip, or cargo). Run it in your terminal.
3
Check requirements and setup
Read the setup instructions for each server—many require environment variables, API keys, or specific runtime versions. Check before installing.
4
Find examples and documentation
Each server listing includes links to GitHub repos and official docs. Review example usage before integrating into your MCP client.
5
Search and filter by feature
Use the search bar to find servers by name or capability (e.g., 'search' to find web search servers, 'database' for DB connectors).
Frequently Asked Questions
What is MCP Server Directory?
MCP Server Directory is a curated, searchable catalog of Model Context Protocol servers. It helps developers discover MCP servers for Claude and other AI assistants, complete with install commands and categories.
How do I use MCP Server Directory?
Browse or search the directory by name, category, or functionality. Each server entry includes a description, installation command you can copy directly, and links to the source repository.
Is MCP Server Directory free?
Yes. This tool is free to use with immediate access—no account required.
Does MCP Server Directory store or send my data?
No. All processing happens entirely in your browser. Your data never leaves your device — nothing is sent to any server.
What is the Model Context Protocol (MCP)?
MCP is an open protocol that lets AI assistants like Claude connect to external tools and data sources. MCP servers provide capabilities such as file access, database queries, API integrations, and more — extending what AI agents can do.
Which MCP servers are production ready?
There is no official certification for MCP servers, so "production ready" comes down to verifiable signals: who maintains the server, whether it is actively maintained or archived, how widely it is deployed, and whether its permission scope fits your threat model. The table below lists the 31 actively maintained servers in this directory, sorted by GitHub stars. Star counts refresh weekly; data as of July 19, 2026.
Actively maintained MCP servers (31)
Server
Maintainer
Category
Transport
GitHub Stars
Filesystem
Model Context Protocol
Official
stdio
88.6k
Memory
Model Context Protocol
Official
stdio
88.6k
Fetch
Model Context Protocol
Official
stdio
88.6k
Sequential Thinking
Model Context Protocol
Official
stdio
88.6k
Git
Model Context Protocol
Developer Tools
stdio
88.6k
Everything
Model Context Protocol
Community
stdio
88.6k
Context7
Upstash
AI & LLM
stdio
59.4k
Chrome DevTools
ChromeDevTools
Developer Tools
stdio
47.2k
Playwright
Microsoft
Data & APIs
stdio
35.2k
GitHub
GitHub
Official
stdio
31.5k
FastMCP
Prefect
AI & LLM
stdio
26.3k
Serena
Oraios AI
Community
stdio
22.9k
n8n Workflows
Romuald Członkowski
Data & APIs
stdio
22.3k
Figma Context
Graham Lipsman
AI & LLM
stdio
15.4k
Firecrawl
Firecrawl
Data & APIs
stdio
7.0k
Notion
Notion
Productivity
stdio
4.5k
Exa Search
Exa Labs
Community
stdio
4.2k
Obsidian
MarkusPfundstein
Productivity
stdio
4.1k
Cloudflare
Cloudflare
Data & APIs
stdio
4.0k
Supabase
Supabase
Data & APIs
stdio
2.8k
Stripe
Stripe
Data & APIs
stdio
1.7k
MySQL
Ben Borla
Community
stdio
1.5k
Kubernetes
Suyog Sonwalkar
Developer Tools
stdio
1.5k
Google Calendar
nspady
Productivity
stdio
1.1k
Sentry
Sentry
Developer Tools
stdio
781
Docker
Christian Kreiling
Developer Tools
stdio
731
Todoist
Abhiram Nair
Productivity
stdio
391
Linear
Jeremy Hadfield
Developer Tools
stdio
346
AWS MCP Servers
AWS Samples
Community
stdio
232
LangChain Tools
Andrew Wason
AI & LLM
stdio
205
Raygun
Raygun
Community
stdio
20
Reference servers maintained by the Model Context Protocol project share the star count of the modelcontextprotocol/servers monorepo. Source: each server's GitHub repository, refreshed July 19, 2026.
How do I evaluate an MCP server before production use?
Check the maintainer. Servers owned by the vendor of the underlying service (GitHub, Cloudflare, Stripe, Supabase, Microsoft's Playwright) track API changes fastest.
Check maintenance status. Several early reference servers are archived and no longer receive fixes — archived servers are listed below and should be treated as end-of-life.
Review the permission scope. A filesystem or database server should be configured with the narrowest possible access (allowed directories, read-only credentials) before an agent can call it.
Prefer stdio transport for local, single-user setups and audit any server that makes outbound network calls with your data.
Pin versions. Install commands like npx -y fetch the latest release; pin an exact version in production so server behavior does not change under your agent.
Which MCP servers are archived?
These 8 servers are archived upstream. They may still work today, but they no longer receive security fixes or API updates, so do not build new production deployments on them:
PostgreSQL, SQLite, Brave Search, Google Maps, Slack, Puppeteer, EverArt, Google Drive.