• STATUS
  • TIMING
  • DETAILS
  • HUMAN

How to monitor pipeline execution status with your AI

Connect your agent to Dataiku DSS to keep tabs on long-running processes without constantly refreshing your browser.

Ask AI about this page

Short answer

How can I track my Dataiku jobs using AI?

Your agent uses the Dataiku DSS connection to pull live updates on job progress and specific task details. You'll get real-time visibility into training runs and build timings through a simple chat interface. Here is how the data flows.

Where every update lands.

Real-time job visibility

The AI pulls status data directly from your DSS environment.

STATUS

Live progress tracking

The agent checks current job states to tell you if a model training run is running, succeeded, or failed. You get immediate clarity on where things stand.

TIMING

Execution duration logs

Your agent pulls timing data to show how long specific build tasks took to complete. This helps you spot bottlenecks in your pipelines.

DETAILS

Specific job inspection

When a job hits an error, your agent looks up the exact job details to explain what happened. You get the context needed to fix issues fast.

HUMAN

Manual intervention

The AI identifies failed jobs and flags them for you. You still need to step into the Dataiku UI to manually restart or modify a failed task.

The workflow

What your AI does when the status changes.

The agent acts as a bridge between your chat interface and the Dataiku job engine.

  1. Scan active jobs

    The agent looks through your current workload to find relevant build or training tasks.

    list_jobs

  2. Inspect specific tasks

    Once it finds a job of interest, the agent pulls the granular details for that specific execution.

    get_job

  3. Analyze progress

    The agent compares the job state against your request to determine if the task is still running or finished.

    get_job

  4. Report findings

    The agent summarizes the timing and status in plain text so you don't have to dig through logs.

    list_jobs

Try it

Copy these to start.

Use these prompts to begin monitoring your work.

Starting points

Swap out the job names or project IDs with your actual Dataiku identifiers.

Dataiku Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_omB2MsN4Y1V0ZX0dD6ibopTA1n2aAb9aFGAtDQOY/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Dataiku capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dataiku-dss-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_omB2MsN4Y1V0ZX0dD6ibopTA1n2aAb9aFGAtDQOY/mcp"
    }
  }
}
Copy into chat04

  • What is the current status of the training job 'model_v2_run'?

  • List all active jobs currently running in my Dataiku project.

  • How long did the last build task for the 'customer_churn' pipeline take?

  • Check the status of job 'job_98765' and tell me if it failed.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Dataiku DSS once, then ask.

Just link your Dataiku instance through the Vinkius dashboard. Your credentials stay encrypted and your agent gets immediate access to your job metadata.

Connect Dataiku DSS to your AI

FAQ

How the monitoring works

  • 01

    Can the AI restart a failed job?

    No. The AI can only read the status and details of jobs. You must manually trigger restarts within Dataiku DSS.

  • 02

    Does the AI see my actual training data?

    No. The agent only accesses job metadata like status, timing, and job IDs. It does not read your datasets or model weights.

  • 03

    Can I see a list of all past jobs?

    Yes, the agent can use the job listing tool to find historical execution data stored in your DSS instance.

  • 04

    How real-time is the status update?

    The status is as real-time as your Dataiku instance. The agent fetches the current state from DSS every time you ask a question.

  • 05

    Can the AI change my pipeline settings?

    No. This connector is read-only for job monitoring. It cannot modify pipeline configurations or parameters.

  • More questions about Dataiku DSS? See everything the Dataiku DSS Connector can do

Connect Dataiku to Claude, Cursor, ChatGPT & more