A demonstration MCP server that provides math (add/multiply) and weather tools, connecting via stdio and streamable HTTP, and integrates with LangChain and LangGraph for agentic workflows.
A beginner-friendly demo project that builds and connects multiple MCP servers (Math and Weather) to a LangChain LLM agent, enabling tool-based interactions via standardized MCP protocol.
Demonstrates custom MCP servers for math and weather operations, enabling multi-agent orchestration using LangChain, Groq, and MCP adapters for both local and remote tool integration.
Demonstrates integrating multiple MCP servers (arithmetic and weather) with a LangGraph ReAct agent using Groq, enabling an LLM to dynamically discover and consume tools across different transport protocols.
A minimal Python-based server that provides real-time weather data and a safe mathematical expression evaluator. It enables users to fetch current weather conditions and perform complex calculations using the Model Context Protocol.