LangChain MCP Chat Platform
About
A versatile chat platform that integrates LangChain, custom MCP servers, and various AI models for enhanced chat capabilities.
Details
- Author
- BilalAltundag
- Downloads
- 189
- Categories
- AI
Jump to
- LangChain integration for advanced conversation management and tool usage
- Powered by Google Gemini 2.0 Flash model
- Custom MCP servers: Tavily web search, Gmail, and accounting (muhasebe)
- Conversation history tracking for contextual responses
- Responsive web UI built with FastAPI and WebSockets
- Extensible architecture to add new tools and capabilities
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
LangChain MCP Chat PlatformCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, set up a .env file with your GOOGLE_API_KEY and SMITHERY_KEY, then run the application from the web_js directory with python main.py. Optionally, enable the Gmail API in Google Cloud Console for email features.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"langchain mcp chat platform": {
"langchain-mcp-chat-platform": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}
}McpServers
{
"langchain-mcp-chat-platform": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}LangChain MCP Chat Platform
A versatile chat platform that integrates LangChain, custom MCP (Model Control Protocol) servers, and Google's Gemini AI model for enhanced conversational capabilities.
Features
- Langchain Integration: Utilize the power of LangChain for advanced conversation management and tool usage
- Google Gemini AI: Powered by Google's powerful Gemini 2.0 Flash model for natural conversations
- Custom MCP Servers: Integrates with various MCP servers for specialized functionalities:
- Tavily web search and extraction (Tavily MCP Link)
> Please check the repository and follow setup instructions for integration.
- Gmail integration for email operations (Gmail MCP GitHub Repo)
> Make sure to clone and configure it as per the instructions to enable Gmail features.
- Custom accounting system (muhasebe)
- Memory Management: Conversation history tracking for contextual responses
- Web Interface: Responsive web UI for user interactions
- Extensible Architecture: Easy to add new tools and capabilities
Project Structure
langchain-mcp-chat-platform/
├── web_js/ # Web interface using FastAPI and WebSockets
│ ├── main.py # Main FastAPI application with WebSocket connections
│ ├── templates/ # HTML templates
│ └── static/ # Static assets (CSS, JS)
├── own_mcp/ # Custom MCP server implementations
│ ├── mcp_server.py # Main MCP server implementation
│ ├── muhasebe_client.py # Accounting system client
│ └── __init__.py # Package initialization
└── app/ # Desktop application
├── main.py # Main application entry point
├── database/ # Database operations
└── ui/ # UI components
Setup and Installation
Step 1: Clone the Repository
git clone https://github.com/BilalAltundag/langchain-mcp-chat-platform.git
cd langchain-mcp-chat-platform
Step 2: Create and Activate Virtual Environment
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