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.
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process.env. You'll be asked to provide them before it can run.MCP_SERVER_URLAZURE_OPENAI_ENDPOINT— Azure OpenAI endpoint URL https://xxx.openai.azure.comAZURE_OPENAI_DEPLOYMENT_NAME— gpt-4o-miniAZURE_OPENAI_API_KEY— your-api-key-hereAZURE_OPENAI_API_VERSION— 2024-12-01-previewAZURE_OPENAI_EMBEDDING_DEPLOYMENT— text-embedding-ada-002CHROMA_PERSIST_DIRECTORY— ./chroma_dbTOP_K— Default number of results 50[](https://m8ven.ai/mcp/josephazar-products-recommendation-mcp-maf-m3n4tr)