# postgres-recommender-mcp

> postgres-recommender-mcp — junmingg-recommendation-system-mcp-postgres. Use this tool when you need to generate personalized product recommendations and analyze customer behavior on an e-commerce platform using a Postgres database. It solves problems related to customer retention, sales growth, and data-driven decision making by providing read-only SQL analytics and collaborative filtering recommendations. The tool takes in customer interaction data and outputs tailored product suggestions, making it ideal for e-commerce businesses looking to enhance their customer experience.

Canonical page: https://skillsregistry.net/skills/junmingg-recommendation-system-mcp-postgres  
JSON: https://api.skillsregistry.net/v1/skills/junmingg-recommendation-system-mcp-postgres

## Description

Enables read-only SQL analytics and ALS collaborative filtering recommendations on a Postgres e-commerce database.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/txcgqy6zne)
- **Repository:** <https://github.com/junmingg/recommendation-system-mcp-postgres>

## 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": "junmingg-recommendation-system-mcp-postgres"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/junmingg-recommendation-system-mcp-postgres` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/junmingg-recommendation-system-mcp-postgres/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