# SQLite MCP Server

> Use this tool when you need to interact with SQLite databases, manipulate data, and inspect schemas, especially in autonomous agent environments where self-documenting database architectures are crucial. It provides a comprehensive interface for data manipulation and query logging, with inputs including SQL queries and database connections, and outputs including query results and database schema information. Ideal for use cases requiring automated data management, logging, and schema preservation in AI-driven applications.

Canonical page: https://skillsregistry.net/skills/u1pns-sqlite-mcp  
JSON: https://api.skillsregistry.net/v1/skills/u1pns-sqlite-mcp

## Description

Provides comprehensive SQLite database interaction for AI agents, including data manipulation, schema inspection, and automated query logging. It features a unique context preservation pattern that uses a dedicated meta-table to help autonomous agents maintain self-documenting database architectures.

## 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/c5p6hky2wq)
- **Repository:** <https://github.com/u1pns/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": "u1pns-sqlite-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/u1pns-sqlite-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/u1pns-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