# MotherDuck

> Use this tool when you need to query and analyze large datasets in the cloud, and manage databases using SQL. MotherDuck solves problems related to data analysis, sharing, and collaboration by providing a cloud-based interface to run SQL queries and work with local and remote datasets. It takes in SQL queries and datasets as inputs and outputs analyzed results, making it ideal for data scientists and analysts working with big data.

Canonical page: https://skillsregistry.net/skills/motherduck  
JSON: https://api.skillsregistry.net/v1/skills/motherduck

## Description

Query and analyze data with DuckDB in the cloud. Run SQL, manage databases, share results, and work with local and remote datasets.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/motherduck)

## 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": "motherduck"
    }
  }
}
```

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