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securityA
licenseA
qualityA Model Context Protocol server enabling product searches across e-commerce platforms, price history tracking, and product specification-based searches using natural language prompts.
Last updated -
2
14
MIT License
Enables containerized deployment of the MongoDB database component through docker-compose
Supports configuration through environment variables stored in .env files for secure management of connection strings and credentials
Refactors an existing LangChain implementation to work with the MCP server architecture while maintaining conversational capabilities
Provides real-time product data access through direct MongoDB integration, enabling structured queries with price range and category filtering, text search capabilities, and product recommendations based on category and price similarity
E-commerce Chatbot with MCP Server (Model Context Protocol)
This project refactors your existing LangChain + FAISS vector database e-commerce chatbot to use MCP (Model Context Protocol) server for real-time product data access.
Key Changes
Removed:
FAISS vector database and embeddings
Static JSON file loading
Vector similarity search
Added:
MCP Server for MongoDB integration
Real-time product queries
Structured database operations
MongoDB text search indexing
Features
Real-time Data: Always up-to-date product information
Structured Queries: Price range, category filtering
Product Recommendations: Based on category and price similarity
Text Input: Supports text queries
Session Management: Maintains conversation context
Coreference Resolution: Handles pronouns and references
Setup
Install dependencies:
pip install -r requirements.txt
Set up environment variables in
.envStart MongoDB:
docker-compose up mongodb -d
Run the application:
uvicorn main:app --reload
API Endpoints
POST /api/v1/chat/- Text-based chat
Benefits of MCP Integration
Real-time Inventory: Always current stock levels
Complex Queries: Price ranges, category filters
Better Performance: Optimized database queries
Scalability: Direct MongoDB connection
Flexibility: Easy to extend with new query types
The MCP server provides a clean abstraction layer between your LLM and database, enabling more sophisticated product queries while maintaining the conversational interface your users expect.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol server that provides real-time access to MongoDB product data, enabling sophisticated e-commerce queries with price range filters, category searching, and product recommendations through a conversational interface.
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