MCP_server_fastapi

@Dhiraj123-star

About MCP_server_fastapi

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "MCP_server_fastapi": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "pyproject.toml"
      ]
    }
  }
}

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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.

Frequently asked questions

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.

Comments

Basic information

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