Enables turning any Python function into an auto-registered MCP tool and serving them over a FastMCP server with auto-discovery, optional auth, and request context.
Enables building and running MCP servers over streamable HTTP, exposing tools to AI assistants like Cursor, with examples of mounting multiple servers in FastAPI.
Enables building and running MCP servers from a single executable, with shared daemons, concurrency controls, retries, caching, security, and OpenAPI integration.