LangChain

A TypeScript project that integrates Langchain with Model Context Protocol (MCP) tools, allowing interaction with Language Models and execution of various tools through a chat interface.

Prerequisites

• Node.js (v14 or higher)
• npm
• Ollama server running locally
• MCP server running locally

Installation

1. Clone the repository:

git clone https://github.com/shashwat001/mcptools-langchain-integration.git
cd mcptools-langchain-integration

2. Install dependencies:

npm install

Configuration

Ollama Configuration

The project uses Ollama for LLM integration. Configure Ollama settings in src/llm.js:

export const ollamaConfig = {
    baseUrl: "http://localhost:11434",
    model: "llama3.1:8b-instruct-q6_K",
    temperature: 0.1,
    maxRetries: 2
};

MCP Server Configuration

MCP server settings can be configured in src/llm.js:

export const mcpConfig = {
    serverUrl: 'http://localhost:7000/sse',
    clientInfo: {
        name: 'ollama-client',
        version: '1.0.0'
    }
};

System Prompt

The system prompt for tool interactions can be modified in src/llm.js:

export const systemPromptForTools = "In this environment you have access to a set of tools you can use to answer the user's question.\n Don't ask user to execute the functions and decide yourself whether to call the tool or not.\nNever call more than one tool at a time.";

Running the Application

1. Start the Ollama server (make sure it's running on http://localhost:11434)
2. Start the MCP server (make sure it's running on http://localhost:7000)
3. Run the application:

node src/index.js

Features

• Interactive chat interface with LLM
• Integration with MCP tools
• Tool execution through chat
• Support for SSE (Server-Sent Events) based MCP server

Important Notes

MCP Server Caution

The project currently uses an SSE-based MCP server. Exercise caution as the MCP server has write permissions that could make unintended system changes. Always review tool permissions before execution.