• LIVE
  • FAILED
  • SUCCESS
  • HUMAN

How to monitor deployment and job status with your AI

Connect Flightcontrol to your AI client to track your infrastructure. Your agent watches your deployments and jobs so you don't have to stare at a dashboard.

Ask AI about this page

Short answer

How can I track Flightcontrol deployments and jobs with my AI?

Your agent uses specific tools to pull the current state of your deployments and the execution history of your scheduler jobs. You get direct answers on whether a deployment finished or why a job failed. This breakdown shows how your agent handles those requests.

Status outcomes

Where your status updates land.

The AI processes your requests and routes the information to these outcomes.

LIVE

Real-time progress

The AI pulls current deployment states. You see exactly where your code sits in the pipeline.

FAILED

Error identification

The agent identifies failed job executions. You get the specific reason a scheduler task didn't finish.

SUCCESS

Deployment confirmation

Once a deployment hits its target state, your AI confirms it's live. You can then move to the next task.

HUMAN

Manual intervention

If a deployment hangs or a job fails repeatedly, the AI flags it for you. You decide when to step in and fix the infrastructure.

The workflow

What your AI does when status updates arrive.

The agent acts as a bridge between your Flightcontrol environment and your chat interface.

  1. Check deployment state

    The agent queries the current status of a specific deployment to see if it is still running or completed.

    get_deployment_status
  2. Verify job runs

    The agent looks up the execution history of scheduler jobs to find recent successes or failures.

    get_job_execution_status
  3. Analyze job failures

    When a job fails, the agent retrieves the execution status to help you understand the outcome.

    get_job_execution_status
  4. Report progress

    The agent summarizes the deployment or job state into a plain text update for you.

    get_deployment_statusget_job_execution_status

Try it

Copy these to start.

Use these prompts to get immediate answers from your agent.

Starting points

Replace the bracketed text with your actual deployment IDs or job names.

Flightcontrol Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_V0rwIPVlSzVozAT6HiedbE6p9bh46ahn9xB9Lbbb/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 — Flightcontrol capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "flightcontrol-aws-paas-deployments-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_V0rwIPVlSzVozAT6HiedbE6p9bh46ahn9xB9Lbbb/mcp"
    }
  }
}
Copy into chat04
  • What is the current status of deployment [ID]?

  • Did the last scheduled job [Name] finish successfully?

  • Check the status of my most recent deployment.

  • Why did the job execution [ID] fail?

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

Start here

Connect Flightcontrol once, then ask.

Just follow the link to authorize the connection. Your credentials stay encrypted and the tools become immediately available in your AI client.

Connect Flightcontrol to your AI

FAQ

How this task behaves.

  • 01

    Can the AI trigger a new deployment?

    No. This MCP only provides tools to read the status of existing deployments and jobs.

  • 02

    Can my AI fix a failed job automatically?

    No. The AI can report why a job failed, but you must manually intervene to fix the issue or restart the job.

  • 03

    How real-time are these status updates?

    The updates are as real-time as the Flightcontrol API. The AI fetches the latest data every time you ask.

  • 04

    Can I see the logs for a specific job?

    The AI can check the execution status, which includes the outcome of the job.

  • 05

    Does the AI need my AWS keys?

    No. You connect through Vinkius, which manages the connection securely so you don't have to paste keys into your AI chat.

  • More questions about Flightcontrol? The Connector page answers them. See everything the Flightcontrol Connector can do

Connect Flightcontrol to Claude, Cursor, ChatGPT & more