# SQLite MCP Server

> Use this tool when you need to analyze and explore local SQLite databases using natural language queries. It solves the problem of requiring technical SQL knowledge to interact with databases, enabling users to ask plain English questions and receive relevant data insights. The tool takes English queries as input and outputs corresponding SQL results, ideal for data analysis and exploration use cases.

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

## Description

Enables natural language interaction with local SQLite databases through Claude Desktop, translating plain English queries into SQL for data analysis and exploration.

## Trust

- **Trust score (0–1):** 0.95
- **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/spgzdatvi5)
- **Repository:** <https://github.com/sparxit/SQLite-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": "sparxit-sqlite-mcp"
    }
  }
}
```

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