# Product Recommendation System

> Use this tool when you need to provide personalized product suggestions to users based on their search queries and preferences. It solves problems such as improving product discovery, enhancing user experience, and increasing sales by leveraging semantic search and natural language processing. The system takes in user input such as search queries, categories, brands, and price ranges, and outputs relevant product recommendations.

Canonical page: https://skillsregistry.net/skills/josephazar-products-recommendation-mcp-maf  
JSON: https://api.skillsregistry.net/v1/skills/josephazar-products-recommendation-mcp-maf

## Description

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.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/enp44jco5z)
- **Repository:** <https://github.com/josephazar/Products-Recommendation-MCP-MAF>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "josephazar-products-recommendation-mcp-maf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/josephazar-products-recommendation-mcp-maf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/josephazar-products-recommendation-mcp-maf/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt