MCP Python Server — API Wrapper

@cdryampi

About MCP Python Server — API Wrapper

MCP de mi perfil

Config

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

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

Tools

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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)

FAQ from MCP Python Server — API Wrapper

What are the dependencies?

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

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.

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.

Can I add more tools?

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

Frequently asked questions

What are the dependencies?

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

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`.

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.

Can I add more tools?

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

Comments

Basic information

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