# Dataiku

> Use this tool when you need to manage and automate data science workflows, projects, and operations through APIs. Dataiku enables seamless integration and control of data flows, projects, and tasks, solving problems related to data workflow management and collaboration. It accepts API inputs and outputs data science project results, ideal for use in data-intensive environments and automated data pipelines.

Canonical page: https://skillsregistry.net/skills/clssck-dataiku-mcp  
JSON: https://api.skillsregistry.net/v1/skills/clssck-dataiku-mcp

## Description

MCP server for Dataiku DSS project, flow, and operations APIs.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/clssck-dataiku-mcp)
- **Repository:** <https://github.com/clssck/dataiku_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": "clssck-dataiku-mcp"
    }
  }
}
```

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