41
grade D
6 days ago
glama
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.
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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[](https://m8ven.ai/mcp/josephazar-products-recommendation-mcp-maf-m3n4tr)commit: 40c67b39a248ce0907af4df7da178177c9e3e32d
code hash: 88f443e0d566b43eaf6f018807a59ff0dd41eb8d17728b02c10d90c3d1129cc7
verified: 4/18/2026, 7:05:04 PM