What problem does it solve? Building services that communicate with LLM applications requires implementing the Model Context Protocol specification correctly, including transports, authentication, and message handling, which is complex to do from scratch. ## Core Features & Use Cases - FastMCP Server Creation: Build MCP servers exposing tools, resources, and prompts using simple Python decorators with automatic parameter validation. - Client Development with OAuth: Connect to any MCP server with OAuth authentication and token storage for secure sessions. - Multiple Transports: Run servers over stdio, SSE, or Streamable HTTP, with stateful or stateless operation modes. - Use Case: Expose your internal database or API as MCP tools so Claude Code or other MCP clients can query it through a standardized protocol. ## Quick Start Ask the AI to create an MCP server using FastMCP with a tool, a resource, and a prompt, then run it with the streamable-http transport on port 3000.