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by Faizan-Rao • Uncategorized
A Node.js MCP client that connects to a custom weather MCP server and exposes weather tools to an LLM via LangChain.
Access current weather information via MCP tools.
Provide weather forecasts and related data through language model interactions.
That require integration of custom MCP tools with LangChain and Ollama LLM models.
This project implements a custom weather MCP server and a client that connects to it, enabling language models to access weather data and forecasts through MCP tools. It integrates with an Ollama LLM model and provides a CLI chat interface for interactive queries. The agent discovers available weather tools dynamically and adapts them for use with LangChain, facilitating seamless weather-related interactions.