MCP
Builds and demonstrates an MCP (Model Context Protocol) server in Python, integrating weather alerts and conversational agents.
Acerca de
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
Advertisement