Model Context Protocol lets your AI assistant connect to databases, APIs, browsers, and cloud services. Here are the best MCP servers to supercharge your workflow.
MCP (Model Context Protocol) is an open standard that lets AI assistants connect to external tools and data sources. Think of it as "plugins" for your AI.
MCP is an open protocol created by Anthropic. Any AI client can connect to any MCP server — no vendor lock-in.
Each MCP server adds new capabilities — query a database, search the web, manage files, deploy infrastructure, and more.
MCP servers run on your machine. Your data stays local, and the AI calls tools through a secure local connection.
Three ways to connect MCP servers to your AI assistant.
Browse 40+ servers across 10 categories. Click a category to filter.
New to MCP? Start with these 5 servers to cover the most common workflows.
MCP servers run with your user permissions. Follow these practices to stay safe.
Only grant access to the specific directories and resources the server needs. Avoid giving root or home directory access.
Never hardcode API keys in config files. Use environment variables or secret managers for credentials.
Use read-only database connections where possible. Avoid giving MCP servers write access to production data.
MCP servers are open source. Review the code before running, especially community servers from unknown authors.
Use .mcp.json for project-specific servers instead of global config. Keep server scope narrow.
Use specific package versions rather than latest in production. Prevents unexpected breaking changes.
Official documentation, registries, and community projects.