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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.
Build and understand a simple MCP server with streamable HTTP transport.
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.
Build a simple MCP tool server with streaming HTTP support.
Execute Python, bash, file operations, and text search over Streamable HTTP.