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Overview

What is MCP_server_fastapi?

MCP_server_fastapi is a Model Context Protocol (MCP) server that exposes tools (such as a weather tool) for AI assistants to call. It is built for developers who want to integrate MCP tools into their applications using a Python stack.

How to use MCP_server_fastapi?

Install dependencies with uv pip install -r pyproject.toml. Run the server via python src/server.py or uv run start. Test and debug tools locally using the MCP Inspector: mcp dev ./src/weather.py.

Key features of MCP_server_fastapi

  • Dependency management with uv for faster installation
  • Supports both Python and uv run commands
  • Debugging with MCP Inspector
  • Requires Python 3.12+
  • Includes a weather tool (indicated by weather.py)

Use cases of MCP_server_fastapi

  • Providing weather data to AI assistants via MCP
  • Building custom MCP tools with Python and testing locally
  • Integrating MCP tools into LLM applications

FAQ from MCP_server_fastapi

What are the requirements to run the server?

Python 3.12+, uv installed, and the mcp CLI installed.

How do I install the dependencies?

Run uv pip install -r pyproject.toml in the project root.

How do I start the server?

You can run python src/server.py or uv run start.

How do I test or debug a tool locally?

Use the MCP Inspector with mcp dev ./src/weather.py.

What runtime environment does the server use?

The server runs on Python and uses uv for package management.

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