Dataiku MCP Server

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

Local serverstdioTypeScript

What is the Dataiku MCP MCP server?

Dataiku MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP server for Dataiku DSS project, flow, and operations APIs.

What you get

MCP server for Dataiku DSS REST APIs, focused on flow analysis and reliable day-to-day operations (projects, datasets, recipes, jobs, scenarios, folders, variables, connections, and code environments).

Setting it up

Installation goes through your MCP client rather than a global install: point it at dataiku-mcp on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

What the assistant can call

Once Dataiku MCP is connected, these are the calls the assistant has available:

  • Cursor — The Cursor tool exposed by this server

Configuration and credentials

You will need 4 environment variables: DATAIKU_URL, DATAIKU_API_KEY, DATAIKU_PROJECT_KEY, YOUR_PROJECT_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Node.js 20+ - npm - Dataiku DSS URL + API key

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the dataiku mcp mcp server does with a few real requests.

Choosing this one

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Dataiku MCP's toolset — Cursor — is a fair guide to whether it matches your workflow. It is maintained by clssck; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Dataiku MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
CursorThe Cursor tool exposed by this server.

How to install the Dataiku MCP MCP server

{
  "mcpServers": {
    "dataiku": {
      "command": "npx",
      "args": ["-y", "dataiku-mcp"],
      "env": {
        "DATAIKU_URL": "https://your-dss-instance.app.dataiku.io",
        "DATAIKU_API_KEY": "your_api_key",
        "DATAIKU_PROJECT_KEY": "YOUR_PROJECT_KEY"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Node.js 20+ - npm - Dataiku DSS URL + API key
VariableDescriptionRequired
DATAIKU_URLEndpoint or connection string the server talks to.Yes
DATAIKU_API_KEYCredential the server authenticates with.Yes
DATAIKU_PROJECT_KEYCredential the server authenticates with.Yes
YOUR_PROJECT_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Dataiku MCP to Cursor.

Frequently asked questions

It connects Dataiku MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Cursor) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Dataiku MCP directly.