MCP Python 服务器—API 包装器

该项目用 Python 创建了一个 MCP 服务器，它公开了一个用于查询外部 API 的工具。与支持模型上下文协议 (MCP) 的 Claude Desktop 或 ChatGPT Desktop 兼容。

✨ 特点

通过 MCP 公开工具
对外部 API 的 HTTP 查询
通过 claude.json 直接与 Claude/Desktop 集成

🚀 要求

Python 3.9+
mcp[cli]（可通过 pip 或 uv 安装）
Claude 或 ChatGPT 桌面版（支持 MCP）

📁 项目结构

.
├── servidores/profile.py          # Servidor MCP con herramientas para interactuar con mi backend del curriculum.
├── server.py                     # Servidor MCP con herramienta "consultar_api".
├── .env                          # Variables opcionales para auth/API.
├── claude.json                   # Config. MCP para integrarlo directamente.
└── README.md                     # Este documento.

⚙️ 安装

使用 pip

pip install "mcp[cli]"

带紫外线（推荐）

uv init mcp-api-server
cd mcp-api-server
uv add "mcp[cli]"

MCP 的安装

mcp install mi_script.py

使用 .env 安装

mcp install mi_script.py -f .env

安装依赖项

pip install -r requirements.txt

环境变量

在项目根目录中创建一个.env文件来定义可选的环境变量：

# .env
API_KEY=mi_api_key
API_URL=https://miapi.com/consulta

👷 快速入门（Quickstart）

创建服务器server.py

from mcp.server.fastmcp import FastMCP
import httpx

mcp = FastMCP("API Wrapper")

@mcp.tool(description="Consulta una API externa")
async def consultar_api(param: str) -> str:
    """Consulta una API externa con un parámetro y devuelve la respuesta."""
    async with httpx.AsyncClient() as client:
        r = await client.get(f"https://miapi.com/consulta?param={param}")
        return r.text

在开发模式下本地运行

mcp dev server.py

以生产模式运行

mcp run server.py

或者使用 uv：

uv run --with mcp[cli] mcp run server.py

🚀 与 Claude/Desktop 集成

在 Claude/Desktop 配置文件夹中找到 claude.json：

在 Windows 上：%APPDATA%\Claude\claude.json
在 Linux/macOS 上：~/.claude/claude.json

例子：

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/codigo/backend-curso-inkor/proyectos_memes"
      ]
    },
    "Demo": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "C:\\codigo\\backend-curso-inkor\\MCP\\server.py"
      ]
    }
  }
}

🤖 在 Claude/Desktop 中使用

你可以问模特：

使用带有“ping”参数的consult_api工具

并且该模型将使用您的 MCP 服务器进行实时 HTTP 调用。

🎁 奖励：工具扩展

@mcp.tool()
async def traducir(texto: str, lang: str) -> str:
    return f"Traducido: {texto} → {lang}"

🔍 资源

MCP 官方文档： https://docs.mcp.run/
Python SDK 存储库： https://github.com/modelcontextprotocol/mcp

✅ 用爱和 httpx 🚀 制作

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

实现模型上下文协议的 Python 服务器，它公开用于查询外部 API 的工具，与 Claude Desktop 和 ChatGPT Desktop 兼容。

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