# sqlite-rag-mcp

> sqlite-rag-mcp — giuseppeferretti-sqlite-rag-mcp. Use this tool when you need to index and query large document collections offline, and solve problems related to information retrieval and natural language search. It takes in documents and outputs relevant search results via a hybrid vector and lexical search interface, enabling efficient querying and retrieval of information. Ideal for use cases where offline search capabilities and natural language querying are required.

Canonical page: https://skillsregistry.net/skills/giuseppeferretti-sqlite-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/giuseppeferretti-sqlite-rag-mcp

## Description

Offline RAG MCP server that indexes documents into SQLite with hybrid vector and lexical search, and enables natural language queries via Claude.

## 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/e29aeiutrk)
- **Repository:** <https://github.com/giuseppeferretti/sqlite-rag-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": "giuseppeferretti-sqlite-rag-mcp"
    }
  }
}
```

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