MCP Server with LangChain

A Model Context Protocol (MCP) server implementation using LangChain with math and weather tools.

Setup

1. Clone the repository

2. Create a virtual environment:

   python -m venv .venv
   .venv/Scripts/activate  # On Windows

3. Install dependencies:

   pip install -r requirements.txt

4. Create a .env file from the example:

   cp .env.example .env

5. Add your Groq API key to .env:

   GROQ_API_KEY=your_actual_api_key_here
   

Usage

Run the client:

python client.py

Features

• Math operations (add, subtract, multiply, divide)
• Weather information (mock data)
• LangChain integration with Groq LLM