Product Recommendation System
Enables semantic search and natural language product recommendations using ChromaDB vector store and Azure OpenAI embeddings. Supports multi-filter search by category, brand, and price with 8 specialized MCP methods for intelligent product discovery.
What is Product Recommendation System?
Product Recommendation System is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables semantic search and natural language product recommendations using chromadb vector store and azure openai embeddings. supports multi-filter search by category, brand, and price with 8 speciali...
Enables semantic search and natural language product recommendations using ChromaDB vector store and Azure OpenAI embeddings. Supports multi-filter search by category, brand, and price with 8 specialized MCP methods for intelligent product discovery.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables semantic search and natural language product recomme
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx product-recommendation-systemConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Product Recommendation System
What is Product Recommendation System?
Product Recommendation System is a Model Context Protocol (MCP) server that enables semantic search and natural language product recommendations using chromadb vector store and azure openai embeddings. supports multi-filter search by category, brand, and price with 8 specialized mcp methods for intelligent product discovery. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Product Recommendation System?
Follow the installation instructions on the Product Recommendation System GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Product Recommendation System?
Product Recommendation System works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Product Recommendation System free to use?
Yes, Product Recommendation System is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Search & Data Extraction MCP Servers
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Set Up Product Recommendation System in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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