Servidor MCP de Uber Eats

Esta es una prueba de concepto de cómo se pueden construir servidores MCP sobre Uber Eats

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

¿Qué es MCP?

El Protocolo de Contexto de Modelo (MCP) es un protocolo abierto que permite una integración perfecta entre aplicaciones LLM y herramientas externas.

Prerrequisitos

Python 3.12 o superior
Clave API antrópica u otro proveedor LLM compatible

Configuración

Asegúrese de tener un entorno virtual activado:
uv venv source .venv/bin/activate # On Unix/Mac
Instalar los paquetes necesarios:
uv pip install -r requirements.txt playwright install
Actualice el archivo .env con su clave API:
ANTHROPIC_API_KEY=your_openai_api_key_here

Nota

Dado que usamos stdio como transporte MCP, hemos deshabilitado toda la salida del uso del navegador.

Depuración

Puede ejecutar la herramienta de inspección MCP con este comando

uv run mcp dev server.py

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.

Un servidor de protocolo de contexto de modelo de prueba de concepto que permite que las aplicaciones LLM interactúen con Uber Eats, lo que permite que los agentes de IA busquen y pidan comida a través del lenguaje natural.

Related Resources

Reddit Discussion about this server

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