# mcp-sqlite-tools-plus

> Use this tool when you need to interact with local SQLite databases using natural language, enabling full CRUD operations, schema introspection, and multi-format import/export. It solves problems related to database management, data import/export, and schema analysis, providing a user-friendly interface for AI agents to work with SQLite databases. The tool accepts natural language inputs and outputs database query results, schema information, and imported/exported data in various formats.

Canonical page: https://skillsregistry.net/skills/mauricioperera-mcp-sqlite-tools-plus  
JSON: https://api.skillsregistry.net/v1/skills/mauricioperera-mcp-sqlite-tools-plus

## Description

Enables AI agents to interact with local SQLite databases with full CRUD, schema introspection, foreign key relations, generated columns, and multi-format import/export (CSV, JSON, XLSX) through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/b6s7usqr66)
- **Repository:** <https://github.com/MauricioPerera/mcp-sqlite-tools-plus>

## 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": "mauricioperera-mcp-sqlite-tools-plus"
    }
  }
}
```

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