• TRIAGE
  • ANALYSIS
  • RECOVERY
  • HUMAN

How to debug production outages with your AI

Connect Axiom to your AI client to turn raw logs and metrics into actionable root cause analysis.

Ask AI about this page

Short answer

How can I use AI to find the cause of a production outage?

Your AI uses Axiom to query logs and monitor data to pinpoint exactly where a system failed. It identifies patterns in error spikes and correlates them with specific service metrics to find the culprit. You get a clear breakdown of the failure point and the underlying cause.

Investigation outcomes.

Where the data lands.

The AI processes your Axiom telemetry into these specific outcomes.

TRIAGE

Identified error spikes

The AI scans your logs to find exactly when and where errors started. You get a timestamped summary of the failure onset.

ANALYSIS

Root cause discovery

By comparing error rates against system metrics, the AI finds the specific service or query causing the crash. It isolates the broken component.

RECOVERY

Suggested fixes

The AI looks at the error patterns to suggest what might have changed or failed. You get a starting point for your patch or rollback.

HUMAN

Manual verification

The AI flags complex edge cases that require a human engineer to inspect the code or infrastructure. You decide when to step in.

The workflow

What your AI does when an outage occurs.

The AI handles the heavy lifting of searching through massive datasets so you don't have to.

  1. Detect the spike

    The AI checks your active monitors to see which specific alert triggered the incident.

    get_monitor

  2. Gather the logs

    It looks up the relevant datasets to pull the raw error logs from the time of the incident.

    list_datasets

  3. Isolate the error

    The AI runs specific queries to filter out noise and find the exact error messages or failed requests.

    run_query

  4. Summarize findings

    It compiles the query results and monitor data into a single report explaining the failure.

    run_query

Try it

Copy these to start.

Use these prompts to kick off an investigation.

Starting points

These are starting points. Swap out the service names or error types for your specific environment.

Axiom Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_e61fohuL5myEGCp75T44EWD2aXWWhlKb6QKmFZpL/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 — Axiom capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "axiom-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_e61fohuL5myEGCp75T44EWD2aXWWhlKb6QKmFZpL/mcp"
    }
  }
}
Copy into chat04

  • Check the 'api-gateway' monitor in Axiom and tell me why the error rate is spiking.

  • Run a query on the 'production-logs' dataset to find all 500 errors from the last 30 minutes.

  • Look at the 'database-latency' monitor and tell me if it correlates with the recent error surge.

  • List all datasets available in Axiom so I can find the right logs for this service.

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

Start here

Connect Axiom once, then ask.

Just link your Axiom account once. Your credentials stay encrypted, and you can immediately start asking your AI about your logs.

Connect Axiom to your AI

FAQ

How this task behaves.

  • 01

    Can the AI fix the code that caused the outage?

    No. The AI only reads data from Axiom to find the cause. You must perform the actual code changes or deployments yourself.

  • 02

    Can the AI delete old logs to save space?

    No. This MCP only has permissions to read and query data. It cannot modify or delete anything in Axiom.

  • 03

    Does the AI see all my Axiom data?

    The AI can only access the data it can reach through the provided tools like list_datasets and run_query.

  • 04

    Can I use this with Claude?

    Yes, as long as you are using an MCP-compatible client like Claude Desktop.

  • 05

    Will the AI alert me when a new error happens?

    The AI doesn't push alerts to you. You use it to investigate after an alert has already been triggered.

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

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