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MCP Python Server — API Wrapper

@cdryampi

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

cdryampi

关于 MCP Python Server — API Wrapper

MCP de mi perfil

#python#mcp-server#api-wrapper

MCP Python Server — API Wrapper 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Python Server — API Wrapper 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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)

常见问题

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.

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