• FIXED
  • PENDING
  • CRITICAL
  • HUMAN

How to debug deployment errors with your AI

Connect Deno Deploy to your AI client once. After that, your agent handles the log digging and error analysis for you.

Ask AI about this page

Short answer

How do I debug deployment errors with my AI?

Your AI accesses live build and runtime logs to pinpoint the specific line of code or configuration causing a failure. It compares recent deployment progress against error logs to find the root cause. You get a clear explanation of the crash and a path to fix it.

Where every issue lands.

Debug outcomes

The AI categorizes your deployment issues into actionable states.

FIXED

Resolved errors

The AI identifies the specific error in the logs and provides the corrected code. You get the exact fix needed to pass the next build.

PENDING

Deployment in progress

The AI monitors the current status of a rollout. You see if a deployment is still working or if it's stuck in a specific stage.

CRITICAL

Runtime crashes

The AI pulls application logs to explain why a live app is failing. It maps the crash back to the most recent code changes.

HUMAN

Manual intervention

The AI flags issues it can't solve, like infrastructure limits or account problems. You decide how to handle these edge cases.

The workflow

What your AI does when a deployment fails.

Instead of you scrolling through terminal output, your AI does the heavy lifting.

  1. Check build status

    The AI looks at the current state of your deployment to see if it's still running or if it already hit a snag.

    get_revision_progress

  2. Pull build logs

    If the build failed, the AI grabs the specific output from the build process to find the error message.

    get_build_logs

  3. Analyze runtime errors

    For apps that deploy but then crash, the AI pulls the live application logs to see the stack trace.

    get_app_logs

  4. Diagnose the cause

    The AI combines the build and app data to tell you exactly what went wrong and how to fix the code.

    get_build_logsget_app_logs

Try it

Copy these to start.

Use these prompts to trigger the debugging process.

Starting points

These are just ways to start the conversation. Swap in your specific project names or deployment IDs.

Deno Deploy Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_It11hmorre7KEUzmsI7bahAYyXvsGCtAGFRzpxQj/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 — Deno Deploy capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "deno-deploy-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_It11hmorre7KEUzmsI7bahAYyXvsGCtAGFRzpxQj/mcp"
    }
  }
}
Copy into chat04

  • Why did my latest deployment for 'my-web-app' fail?

  • Check the build logs for the most recent revision and tell me what the error is.

  • My app is crashing in production. Can you pull the app logs and find the stack trace?

  • Is my current deployment still in progress or has it finished?

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

Start here

Connect Deno Deploy once, then ask.

You only need to link your account once. Your credentials stay encrypted, and you can immediately start asking your AI about your deployments.

Connect Deno Deploy to your AI

FAQ

Common questions

  • 01

    Can the AI fix my code automatically?

    No. The AI identifies the error and suggests the fix, but you must apply the changes to your code yourself.

  • 02

    Can the AI trigger a new deployment?

    No. This MCP is for reading logs and progress. It cannot initiate or cancel deployments.

  • 03

    Does the AI see my entire codebase?

    No. It only sees the logs and deployment data provided by the Deno Deploy tools.

  • 04

    How does the AI know which deployment to look at?

    You tell it which project or revision to check, and it uses that information to pull the right logs.

  • 05

    Can the AI delete my deployments?

    No. There are no tools available to this MCP that allow for deleting or modifying your Deno Deploy resources.

  • More questions about Deno Deploy? See everything the Deno Deploy Connector can do

Connect Deno Deploy to Claude, Cursor, ChatGPT & more