# database-mcp

> database-mcp — rumblingb-database-mcp. Use this tool when you need to query databases such as SQLite, PostgreSQL, and MySQL via MCP, solving data retrieval and management problems for AI agents. It takes database queries as input and returns relevant data as output, providing a straightforward interface for data access. Ideal for use cases requiring efficient data retrieval and manipulation in AI-driven applications.

Canonical page: https://skillsregistry.net/skills/rumblingb-database-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rumblingb-database-mcp

## Description

Database query via MCP. SQLite, PostgreSQL, MySQL. For AI agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Rumblingb/database-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": "rumblingb-database-mcp"
    }
  }
}
```

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