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Uber Eats MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

MCP-Mirror

关于 Uber Eats MCP Server

Mirror of

#uber-eats#mcp-server#api-integration

Uber Eats MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ericzakariasson_uber-eats-mcp-server": {
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "dev",
        "server.py"
      ]
    }
  }
}

Uber Eats MCP Server 工具

工具列表暂未提供

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 Uber Eats MCP Server?

A proof-of-concept MCP server that demonstrates how to build Model Context Protocol servers on top of Uber Eats. It is for developers exploring integration between LLM applications and Uber Eats via browser automation.

How to use Uber Eats MCP Server?

Activate a Python virtual environment with uv venv and source .venv/bin/activate, install dependencies (uv pip install -r requirements.txt and playwright install), then set an Anthropic API key in the .env file. The server uses stdio transport and can be debugged with uv run mcp dev server.py.

Key features of Uber Eats MCP Server

—

Use cases of Uber Eats MCP Server

—

常见问题

1

What Python version is required?

Python 3.12 or higher.

2

What API key is needed?

An Anthropic API key, set in the `.env` file under `ANTHROPIC_API_KEY`.

3

How do I install the required packages?

Run `uv pip install -r requirements.txt` and then `playwright install`.

4

What transport does the server use?

Standard input/output (stdio) transport, so all browser output from Playwright is disabled.

5

How can I debug the server?

Use the MCP inspector tool with the command `uv run mcp dev server.py`.

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