MCP Servers
Explore open-source Model Context Protocol servers for connecting AI agents to developer tools, databases, browsers, files, APIs, and workflows.
Find MCP servers that fit your agent workflow
MCP servers expose tools, data, and services to AI agents through the Model Context Protocol. Use this page to compare install methods, supported clients, transports, permissions, GitHub activity, and common use cases before connecting a server to your environment.
What are MCP servers?
MCP servers are integration layers that let AI clients call external tools such as databases, browsers, filesystems, APIs, cloud platforms, and internal services through a shared protocol.
How to choose an MCP server
Start with the client you use, then check runtime, transport, authentication, license, recent commits, available tools, and whether the server can read, write, or perform destructive actions.
Common MCP server use cases
Popular use cases include database querying, repository automation, browser control, document retrieval, cloud operations, analytics, support workflows, and secure access to local or private data.
