# rag-memory-pg-mcp

> rag-memory-pg-mcp — kshidenko-rag-memory-pg-mcp. Use this tool when you need to integrate hybrid semantic search and knowledge graph capabilities into your application, leveraging a PostgreSQL-based server with Supabase. It solves problems related to complex data querying and retrieval, providing a robust interface for inputs such as search queries and outputs like relevant data and graph relationships. Ideal for use cases requiring advanced data analysis and insight generation, such as knowledge management and data-intensive research projects.

Canonical page: https://skillsregistry.net/skills/kshidenko-rag-memory-pg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kshidenko-rag-memory-pg-mcp

## Description

PostgreSQL-based RAG Memory MCP Server with Supabase - hybrid semantic search + knowledge graph

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kshidenko/rag-memory-pg-mcp)

## 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": "kshidenko-rag-memory-pg-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kshidenko-rag-memory-pg-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kshidenko-rag-memory-pg-mcp/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