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aaasoulmate

MCP-Weather Server

by aaasoulmate

LLM ampliado con MCP para acceder a información meteorológica

Descripción general

Este sistema mejora los modelos de lenguaje grande (LLM) con capacidades de datos meteorológicos utilizando el marco del Protocolo de contexto de modelo (MCP).

Related MCP server: mcp-weather

Manifestación

Una demostración

Componentes

  • Cliente MCP : Almacenar LLms

  • Servidor MCP : agente intermedio que conecta herramientas/recursos externos

Configuración

Plataforma DeepSeek

BASE_URL=https://api.deepseek.com
MODEL=deepseek-chat
OPENAI_API_KEY=<your_api_key_here>

Plataforma OpenWeather

OPENWEATHER_API_BASE=https://api.openweathermap.org/data/2.5/weather
USER_AGENT=weather-app/1.0
API_KEY=<your_openweather_api_key>

Instalación y ejecución

  1. Inicializar proyecto:

uv init weather_mcp
cd weather_mcp

donde weather_mcp es el nombre del archivo del proyecto.

  1. Instalar dependencias:

uv add mcp httpx
  1. Sistema de lanzamiento:

cd ./utils
python client.py server.py

Nota: Reemplace todos los marcadores de posición <your_api_key_here> con claves API reales

Maintenance

ActivityInactive
ResponsivenessNo issues

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