FastMCP 3.0

We chose FastMCP because it treats MCP servers like FastAPI applications. Decorator-based DX: Instead of writing verbose class-based boilerplate, we just use @mcp.tool(). It feels exactly like writing a FastAPI route. Pydantic Native: Since we heavily use Pydantic for data validation (SERP results, GSC data), FastMCP's native integration saved us hours of conversion work. Built-in Image Support: FastMCP makes it incredibly easy to return multimodal responses (images + text), which is crucial for our "Site Health Check" features that visualize data. SSE out-of-the-box: Connecting to Claude Desktop requires a robust Server-Sent Events implementation. FastMCP handles the handshake, keep-alive, and transport details automatically. It's the "FastAPI moment" for the MCP ecosystem.

We built the Composer MCP Server using FastMCP. It was simple and intuitive!

For the incredible DX. It made building the Python side of our MCP implementation a joy.