MCP use case

Triage the bug queue with AI, not a Monday meeting

Triage is the tax every team pays: someone reads each new report, guesses severity, hunts for duplicates and routes it. Connected over MCP, an AI does the first pass — it reads the full report including the widget's captured screenshots, console logs and environment, proposes a triage decision, and applies it once you approve.

Try now → See pricing
claude — triage over artikko mcp 5 tools

The triage loop

  1. 1

    Connect an MCP client

    Register the Artikko MCP server in Claude or any MCP-compatible tool with a key scoped to the projects to triage.

  2. 2

    Pull the untriaged queue

    The AI calls list_tickets filtered to new reports — including widget captures with screenshots and console logs attached.

  3. 3

    Classify and prioritize

    For each report the AI proposes category and severity, flags duplicates, and drafts a one-line summary for the board.

  4. 4

    Apply the triage

    Approved changes go back through update_ticket — severity set, owner assigned, duplicates linked and closed.

What makes AI triage accurate here

Evidence-rich reports

Reports arrive rich: the widget auto-captures a screenshot, console log and environment, so the AI classifies from evidence, not vibes.

Duplicate detection

Duplicate detection works because the AI can search the whole ticket history through the same MCP connection.

Human oversight built in

Every triage decision is a normal ticket update — visible on the board, reversible by a human, attributed in the audit log.

See pricing → · Back to the MCP server →

Put AI on triage duty

Start with the Free plan: 25 AI drafts a month plus unrestricted MCP access is enough to triage a real queue.

Get started free See pricing