
ericzakariasson/uber-eats-mcp-server 是从 https://github.com/ericzakariasson/uber-eats-mcp-server. 导入的 MCP 服务器候选服务器。
概览
ericzakariasson/uber-eats-mcp-server 是从 https://github.com/ericzakariasson/uber-eats-mcp-server. 导入的 MCP 服务器候选服务器。
概述(AI 翻译)
这是如何在Uber Eats之上搭建MCP服务器的一个概念
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,能够实现LLM应用与外部工具之间的无缝集成。
先修条件
- Python 3.12 或更高版本
- Anthropic API 密钥或其他支持的大型语言模型提供者
布置
-
确保你已激活虚拟环境:
-
安装所需的软件包:
-
用你的 API 密钥更新
.env文件:
注释
由于我们使用 stdio 作为 MCP 传输,我们必须禁用浏览器的所有输出
调试
你可以用这个命令运行MCP检查工具
本页由 AI 翻译,技术细节请以原文为准。
README
Uber Eats MCP Server
This is a POC of how you can build an MCP servers on top of Uber Eats
https://github.com/user-attachments/assets/05efbf51-1b95-4bd2-a327-55f1fe2f958b
What is MCP?
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external tools.
Prerequisites
- Python 3.12 or higher
- Anthropic API key or other supported LLM provider
Setup
-
Ensure you have a virtual environment activated:
uv venv source .venv/bin/activate # On Unix/Mac -
Install required packages:
uv pip install -r requirements.txt playwright install -
Update the
.envfile with your API key:ANTHROPIC_API_KEY=your_openai_api_key_here
Note
Since we’re using stdio as MCP transport, we have disable all output from browser use
Debugging
You can run the MCP inspector tool with this command
uv run mcp dev server.py
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手?先看 mcpskill.org 教程 →