• STATUS
  • RECOVERY
  • CONTROL
  • HUMAN

How to monitor and control builds with your AI

Connect AppVeyor to your AI client once. From there, you can manage your CI/CD pipeline using plain English.

Ask AI about this page

Short answer

How can I manage AppVeyor builds with my AI?

You can check the status of recent builds, restart failed processes, or kill active deployments immediately. This gives you direct control over your pipeline without leaving your chat interface.

Pipeline outcomes.

What you can do.

Your AI handles the API calls so you can focus on the code.

STATUS

Track build progress

The AI checks the latest build status for your project. You'll know exactly if your recent push passed or failed.

RECOVERY

Restart failed runs

If a build fails, tell your AI to try again. It triggers a rerun of the process for you.

CONTROL

Kill active builds

You can stop a running build or deployment instantly. The AI sends the cancellation command to AppVeyor immediately.

HUMAN

Fixing the code

The AI can't fix your broken logic or edit your configuration files. You still need to handle the actual debugging yourself.

The workflow

What your AI does when <the thing arrives>.

Your AI acts as the interface between your chat and the AppVeyor engine.

  1. Check status

    The AI looks up the most recent build activity for your project.

    get_project_last_build
  2. Trigger reruns

    When a process fails, the AI can start a new attempt of that specific build.

    rerun_build
  3. Launch tasks

    You can tell your AI to start a new build or a deployment sequence.

    start_buildstart_deployment
  4. Stop processes

    The AI can terminate a build or a deployment that is currently running.

    cancel_buildcancel_deployment

Try it

Copy these to start.

Use these prompts to interact with AppVeyor.

Starting points

Swap out the project names and build IDs for your own specific AppVeyor details.

AppVeyor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_PY3SwiQMw70e05tPE2M7X4tLkaRn25Lst6u8VAj1/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 — AppVeyor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "appveyor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_PY3SwiQMw70e05tPE2M7X4tLkaRn25Lst6u8VAj1/mcp"
    }
  }
}
Copy into chat04
  • What was the status of the last build for the 'web-app' project?

  • Rerun the last failed build for 'api-service'.

  • Stop the current deployment for 'production-site' right now.

  • Start a new build for the 'mobile-ios' repository.

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

Start here

Connect AppVeyor once, then ask.

Link your account with one click. Your credentials stay encrypted on our side, and you can start managing builds in any MCP-compatible client.

Connect AppVeyor to your AI

FAQ

How this task behaves

  • 01

    Can the AI fix my broken code?

    No. The AI can only trigger or stop processes; it cannot edit your source code.

  • 02

    Can the AI delete my AppVeyor projects?

    No. There are no tools available to delete projects or configurations.

  • 03

    Can I see the build logs through the AI?

    No. The AI can check the status of a build, but it cannot read the log output.

  • 04

    Can I start a deployment using my AI?

    Yes, you can command the AI to start a deployment.

  • 05

    Does the AI store my AppVeyor credentials?

    No. Vinkius manages the connection securely so your credentials stay encrypted.

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

Connect AppVeyor to Claude, Cursor, ChatGPT & more