# Turbular

> Use this tool when you need to integrate large language models (LLMs) with diverse databases, as Turbular provides a unified API for seamless interaction, solving data connectivity and query compatibility issues. It accepts database queries and LLM inputs, and outputs normalized data and transformed queries, enabling efficient data exchange. Ideal for applications requiring LLM-driven data analysis and retrieval across multiple databases.

Canonical page: https://skillsregistry.net/skills/raeudigerraeffi-turbular  
JSON: https://api.skillsregistry.net/v1/skills/raeudigerraeffi-turbular

## Description

Provides a unified API to connect LLMs to various databases, with schema normalization and query transformation for seamless interaction.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/knoxop7jwb)
- **Repository:** <https://github.com/raeudigerRaeffi/turbular>

## 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": "raeudigerraeffi-turbular"
    }
  }
}
```

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