# SQLite MCP Server

> Use this tool when you need to integrate AI assistants with SQLite databases, enabling them to retrieve and manipulate data by executing queries and interacting with database schemas. It solves problems related to data access and manipulation, providing a Model Context Protocol server interface that accepts query inputs and returns data outputs. Ideal for use cases requiring AI-driven data analysis, reporting, or automation, where SQLite databases serve as the data source.

Canonical page: https://skillsregistry.net/skills/sam2332-mcp-quick-sqlite3  
JSON: https://api.skillsregistry.net/v1/skills/sam2332-mcp-quick-sqlite3

## Description

A Model Context Protocol server that enables AI assistants to interact with SQLite databases by connecting to database files, listing tables, describing schemas, and executing queries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/csg79xnlp7)
- **Repository:** <https://github.com/sam2332/mcp-quick-sqlite3>

## 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": "sam2332-mcp-quick-sqlite3"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sam2332-mcp-quick-sqlite3` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sam2332-mcp-quick-sqlite3/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