• EXECUTION
  • MONITORING
  • REPORTING
  • HUMAN

How to trigger and monitor Snowflake jobs with your AI

Connect Coalesce to your AI client to run transformations and check status without leaving your chat interface.

Ask AI about this page

Short answer

Can I run Coalesce jobs through my AI?

Yes. You can tell your AI to start specific transformation jobs and then ask it to check if they finished successfully. This gives you a direct line to your data pipelines without needing to log into the Coalesce UI.

The outcomes.

What you get from your AI.

The AI handles the heavy lifting of interacting with the Coalesce API.

EXECUTION

Immediate job starts

Your AI sends the command to Coalesce to begin a specific transformation. You get the job running without touching the web interface.

MONITORING

Real-time status

The AI checks the progress of active runs. You'll know exactly when a job is running, finished, or failed.

REPORTING

Clear job results

The AI reads the outcome of the transformation. You get a plain English summary of whether the data loaded correctly.

HUMAN

Manual troubleshooting

If a job fails due to a logic error, you still need to open the Coalesce UI to fix the underlying transformation code.

The workflow

What your AI does when <the thing arrives>.

The AI acts as a bridge between your chat window and your Snowflake environment.

  1. Start the transformation

    The AI identifies the job you want to run and sends the request to Coalesce.

    trigger_job

  2. Check the run state

    The AI looks up the current status of the job to see if it is still processing.

    get_run_status

  3. Verify the outcome

    The AI checks the final state of the job to confirm it completed successfully.

    get_run_status

  4. Report back

    The AI provides you with the status update so you can move to your next task.

    get_run_status

Try it

Copy these to start.

Use these prompts to interact with Coalesce.

Starting points

Swap the bracketed text for your actual job names.

Coalesce Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Cc4llz27o6QgNOF3cmyYyEYcNpp6loEG8VfVdFq3/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 — Coalesce capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "coalesce-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Cc4llz27o6QgNOF3cmyYyEYcNpp6loEG8VfVdFq3/mcp"
    }
  }
}
Copy into chat04

  • Trigger the [Job Name] transformation job.

  • Check the status of the [Job Name] run.

  • Did the [Job Name] job finish successfully?

  • Give me the status of the last run for [Job Name].

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

Start here

Connect Coalesce once, then ask.

One connection secures your credentials, and you can immediately start managing jobs from your favorite AI client.

Connect Coalesce to your AI

FAQ

How this task behaves.

  • 01

    Can the AI edit my Coalesce transformation logic?

    No. The AI can only trigger existing jobs and check their status.

  • 02

    Does the AI need my Snowflake password?

    No. Your credentials stay encrypted and managed by Vinkius.

  • 03

    Can I cancel a running job through the AI?

    No. There is no tool provided to stop or kill a running job.

  • 04

    How does the AI know if a job failed?

    The AI uses the status tool to read the result of the run and reports the error state to you.

  • 05

    Can I use this with any AI client?

    Yes, any client that supports the MCP standard can use this connector.

  • More questions about Coalesce? See everything the Coalesce Connector can do

Connect Coalesce to Claude, Cursor, ChatGPT & more