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Uber Eats MCP Server

Uber Eats MCP 服务器

这是关于如何在 Uber Eats 上构建 MCP 服务器的 POC

https://github.com/user-attachments/assets/05efbf51-1b95-4bd2-a327-55f1fe2f958b

什么是 MCP?

模型上下文协议 (MCP)是一种开放协议,可实现 LLM 应用程序和外部工具之间的无缝集成。

先决条件

  • Python 3.12 或更高版本
  • Anthropic API 密钥或其他受支持的 LLM 提供程序

设置

  1. 确保您已激活虚拟环境:
    uv venv source .venv/bin/activate # On Unix/Mac
  2. 安装所需的软件包:
    uv pip install -r requirements.txt playwright install
  3. 使用您的 API 密钥更新.env文件:
    ANTHROPIC_API_KEY=your_openai_api_key_here

笔记

由于我们使用 stdio 作为 MCP 传输,因此我们已禁用浏览器使用的所有输出

调试

您可以使用此命令运行 MCP 检查器工具

uv run mcp dev server.py
-
security - not tested
F
license - not found
-
quality - not tested

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.

概念验证模型上下文协议服务器,使 LLM 应用程序能够与 Uber Eats 交互,从而允许 AI 代理通过自然语言浏览和订购食物。

  1. 什么是 MCP?
    1. 先决条件
      1. 设置
        1. 笔记
          1. 调试

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