# Quarry

> Quarry — yiminspace-quarry. Use this tool when you need to safely query databases using SQL, manage schemas, and list connections through a structured interface. Quarry solves problems related to data access and management by providing an MCP server with safety features, allowing AI agents to execute queries while minimizing risks. It takes SQL queries and connection requests as inputs and returns query results and schema information as outputs.

Canonical page: https://skillsregistry.net/skills/yiminspace-quarry  
JSON: https://api.skillsregistry.net/v1/skills/yiminspace-quarry

## Description

Quarry provides an MCP server for database querying with safety rails, allowing AI agents to execute SQL queries, list connections, and manage schemas through a structured interface.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jlza2swhr0)
- **Repository:** <https://github.com/yiminspace/quarry>

## 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": "yiminspace-quarry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yiminspace-quarry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yiminspace-quarry/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