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MCP Python Server — API Wrapper

@cdryampi

Repository

Basic information

Category

Developer Tools

Transports

stdio

Author

cdryampi

About MCP Python Server — API Wrapper

MCP de mi perfil

#python#mcp-server#api-wrapper

MCP Python Server — API Wrapper config

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

{
  "mcpServers": {
    "mcp-cdryampi": {
      "command": "uv",
      "args": [
        "init",
        "mcp-api-server"
      ]
    }
  }
}

MCP Python Server — API Wrapper tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

What is MCP Python Server — API Wrapper?

It is a Python MCP server that exposes a tool to query an external HTTP API. Designed for use with Claude Desktop or ChatGPT Desktop that support the Model Context Protocol.

How to use MCP Python Server — API Wrapper?

Install dependencies (pip install "mcp[cli]" or uv add "mcp[cli]"), then run mcp dev server.py for development or mcp run server.py for production. Integrate with Claude Desktop by adding an entry in claude.json pointing to the server script. Once configured, you can ask the model to use the consultar_api tool with a parameter.

Key features of MCP Python Server — API Wrapper

  • Exposes an external API query as an MCP tool
  • Built with FastMCP and httpx
  • Direct integration via claude.json
  • Supports optional environment variables (API_KEY, API_URL)

Use cases of MCP Python Server — API Wrapper

  • Let an AI assistant fetch live data from a public API
  • Build a demo that queries a backend and returns results in chat
  • Extend with additional tools (e.g., translation)

Frequently asked questions

1

What are the dependencies?

Python 3.9+ and the `mcp[cli]` package. Optionally `httpx` for HTTP requests (included in the example).

2

How do I set the API endpoint?

Define `API_URL` and optionally `API_KEY` in a `.env` file, then load it with `mcp install server.py -f .env`.

3

What transport does the server use?

The server uses the Model Context Protocol default transport (stdio). It is configured via `mcp run` or the `claude.json` command line.

4

Can I add more tools?

Yes. The README shows an example `traducir` tool using the `@mcp.tool()` decorator.

Comments

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