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MCP Python Server — API Wrapper

@cdryampi

Repository

About MCP Python Server — API Wrapper

MCP de mi perfil

#python#mcp-server#api-wrapper

Basic information

Category

Developer Tools

Runtime

python

Transports

stdio

Publisher

cdryampi

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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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)

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.

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