The open directory of Model Context Protocol servers — browse, search, and integrate tools into your AI workflows.
Start with a task, then choose your client and follow the maintainer’s setup.
The complete platform for discovering, evaluating, and deploying MCP servers into production AI workflows.
Browse a directory of official and community-built MCP servers across databases, developer tools, cloud services, and more. Filter by language, transport type, and category.
Supported packages include configuration examples. Choose your AI client, check the maintainer’s requirements, and follow the setup instructions.
Repository metadata and documentation help you evaluate a server. A listing is not a security audit or a guarantee of availability; check its permissions and current setup guide.
Where provided by the source, entries list the tools they expose — from read_file to kubernetes_deploy — so you know exactly what capabilities you're adding to your AI. Complete with transport type, version history, and configuration examples.
Find the right integration for every part of your stack.
Popular servers with documentation signals
Control a real Chrome browser to complete any task: fill forms, extract data, book flights.
Live markets, conflicts, country risk, chokepoints, energy, and China decision signals. 75 tools.
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
MCP server for Chrome DevTools
Draw and visually collaborate with your agents on tldraw's canvas.
Official CCXT MCP server - Market data and trading across 100+ exchanges and prediction markets
Fresh releases and recent updates
Everything you need to know about MCP servers and MCP Find.
MCP Find is an open-source directory of Model Context Protocol servers. It helps developers discover, evaluate, and install MCP servers into AI clients like Claude Desktop, Cursor, VS Code, and Windsurf.
MCP is an open standard created by Anthropic that lets AI assistants connect to external tools and data sources. Think of it like a USB port for AI — any MCP-compatible client can use any MCP server, regardless of who built it.
Find a server on MCP Find, copy the JSON config snippet from its listing page, and paste it into your AI client's configuration file. Most servers work with a single command or config block — no complex setup required.
The vast majority of MCP servers listed here are open source and free. Some connect to paid third-party services (like cloud providers or SaaS APIs), but the MCP server itself is typically free.
Claude Desktop, Claude Code, Cursor, VS Code (via Copilot), Windsurf, and a growing number of AI tools support MCP. Any client that implements the protocol can connect to the servers listed here.
Click "Submit a Server" in the navigation bar and fill out the form with your server's package name and GitHub URL. Submissions are reviewed and typically appear in the directory within a few days.
Guides, tutorials, and insights on MCP
Brave Search MCP offers eight specialized search tools. Perplexity MCP combines direct search with three answer and research tools, including a hosted endpoint. Compare the setups, response styles, and costs.
A complete configuration path for BigQuery Toolbox: project prerequisites, credentials, binary selection, prebuilt arguments, and a read-first connection check.
Use Brave’s published package and an explicit stdio connection. Includes a complete VS Code example and practical checks for results and account limits.
Share it with the community. MCP Find makes it easy for developers to discover your integration and start using it in minutes.