A step-by-step guide and complete working example for building and running an MCP server with streamable HTTP transport using Python, mcp, and FastAPI, enabling AI assistants to access tools over HTTP.
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process.env. You'll be asked to provide them before it can run.TAVILY_API_KEYPORT[](https://m8ven.ai/mcp/alejandro-ao-mcp-streamable-http-1koeot)