LangChain MCP Servers

A powerful, multi-server application that integrates LangChain with multiple servers to solve math problems, perform searches, and fetch weather data. This project uses FastAPI and LangChain for seamless communication and AI-powered functionality. The backend can dynamically connect to different servers for varied purposes, making it flexible and easy to extend.

Project Overview

LangChain MCP Servers is a multi-functional server setup that allows interaction with different services such as:

• Math Solver: Solve math problems programmatically.
• Search Server: Perform search queries and get AI-generated answers.
• Weather Server: Fetch weather details based on user location.

The application uses LangChain for leveraging OpenAI's GPT models, and it allows dynamic connections to different servers, making it highly customizable.

Key Features:

• Dynamic connection to multiple servers (e.g., search, math, weather).
• Support for user-defined prompts.
• Integration with OpenAI's GPT-4 model for generating responses.
• Utilizes server-sent events (SSE) for real-time communication with backend services.

Technologies Used

• FastAPI: For creating the server endpoints and managing the services.
• LangChain: For seamless integration with OpenAI's GPT model.
• SSE (Server-Sent Events): For real-time communication between the client and server.
• OpenAI GPT-4: Used for generating responses based on the user's prompts.

Prerequisites

Before you begin, make sure you have the following installed:

• Python 3.8 or later
• Git
• A virtual environment manager (e.g., venv, conda)

Environment Variables

This project requires an OpenAI API key. Set it up in your environment by creating a .env file with the following content: