# RAG-MCP Knowledge Base Server

> Use this tool when you need to perform advanced semantic searches across large text documents, solving problems such as information retrieval and question answering. It takes in natural language queries as input and outputs relevant documents or answers, leveraging vector embeddings stored in PostgreSQL. Ideal for use cases requiring intelligent search and retrieval, such as research, data analysis, or knowledge management applications.

Canonical page: https://skillsregistry.net/skills/luxter77-mcp-kbdb  
JSON: https://api.skillsregistry.net/v1/skills/luxter77-mcp-kbdb

## Description

Enables semantic search across text documents using vector embeddings stored in PostgreSQL. Provides multiple search modalities including semantic similarity, question/answer, and style-based search through a retrieval-augmented generation system.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a18lzmcr5l)
- **Repository:** <https://github.com/Luxter77/MCP-KBDB>

## 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": "luxter77-mcp-kbdb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luxter77-mcp-kbdb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luxter77-mcp-kbdb/pull`

---
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