MCP
Builds and demonstrates an MCP (Model Context Protocol) server in Python, integrating weather alerts and conversational agents.
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Explore the Model Context Protocol (MCP) with this comprehensive Python project, designed to showcase the development and interaction with an MCP server. It provides practical examples of integrating real-time weather alerts via the National Weather Service API and implementing conversational agents powered by `langchain-groq` and the `llama-3.3-70b-versatile` model. With included server, client, and Docker configurations, this project offers a robust foundation for understanding and deploying MCP-based applications, enabling dynamic tool invocation and chat functionalities.
Características Principales
- Comprehensive MCP Server and Client Implementations
- Docker Support for Easy Deployment
- AI Conversational Agent with Memory (via Langchain-Groq)
- Real-time Weather Alerts using National Weather Service API
- 0 GitHub stars
Casos de Uso
- Learning and experimenting with Model Context Protocol (MCP) server development
- Integrating external APIs (e.g., weather services) into an AI agent
- Deploying AI-powered services in containerized environments
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