# aiQueryLab MCP Server

> aiQueryLab MCP Server — gr4c2-2000-aiquerylab. Use this tool when you need to integrate AI with database querying capabilities, solving problems such as data retrieval and management for AI model training and development. It enables execution of SQL queries against MySQL and ClickHouse connections, retrieving and managing results through a VSCode IDE interface. Ideal for use cases requiring seamless interaction between AI and database systems.

Canonical page: https://skillsregistry.net/skills/gr4c2-2000-aiquerylab  
JSON: https://api.skillsregistry.net/v1/skills/gr4c2-2000-aiquerylab

## Description

Enables AI to execute SQL queries against MySQL and ClickHouse connections, retrieve and manage results, and inject them into the aiQueryLab VSCode IDE.

## Trust

- **Trust score (0–1):** 0.67
- **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/fyuvelsay3)
- **Repository:** <https://github.com/gr4c2-2000/aiQueryLab>

## 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": "gr4c2-2000-aiquerylab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gr4c2-2000-aiquerylab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gr4c2-2000-aiquerylab/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