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Build and run a streamable HTTP MCP server with Python and FastAPI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-streamable-http" yet — see the docs or source repo.
Using Python, mcp, and FastAPI, generate a runnable MCP server example with streamable HTTP transport, and explain the project structure, dependency installation, startup commands, and testing steps.
A complete example with project structure, dependencies, server implementation, run steps, and verification instructions.
Help me design an MCP server that exposes two tools to an AI assistant over streamable HTTP: get weather and check exchange rates. Provide FastAPI routes, tool definitions, and sample requests and responses.
A tool service design for AI assistant integration, including API definitions, code samples, and invocation examples.
I have deployed a FastAPI-based MCP streamable HTTP service, but the client cannot connect. Give me a troubleshooting checklist covering dependency versions, route configuration, streaming responses, logging, and common fixes.
A developer- and DevOps-friendly troubleshooting guide to quickly identify MCP service connectivity and runtime issues.
Expose MCP tools over streamable HTTP for FastAPI apps and AI assistants.
Build and understand a simple MCP server with streamable HTTP transport.
Build MCP servers quickly with a Streamable HTTP Python template.
Example MCP Streamable HTTP client and server implementations in Python and TypeScript.
Build and run MCP servers over streamable HTTP for AI assistants.
Build and deploy a Python MCP server with auth and example tooling.