Kanban Tool

@kanban-tool archive all tasks in the 'Done' column that were completed before February 1st and summarize what got shipped

Archived 14 tasks from the Done column with completion dates before February 1, 2025. Shipped features include: new user onboarding flow (3 tasks), payment gateway integration (4 tasks), mobile app performance improvements (2 tasks), customer support chatbot v1 (3 tasks), and security audit remediation (2 tasks). All archived tasks remain searchable but are hidden from active board views. Use 'unarchive' if you need to restore any. This is an illustrative summary — actual archive operations are destructive and should be confirmed before execution.

This example combines Change task lifecycle (archive action) with AI synthesis of task titles and metadata. Requires write access and careful use — archiving is a bulk destructive operation. The MCP does not natively filter by completion date, so the AI must fetch all Done tasks and filter client-side. If you have hundreds of completed tasks, consider narrowing the date range to avoid rate limits.

When Kanban Tool MCP wins for end-of-sprint hygiene

A 6-person engineering team runs two-week sprints and ends each cycle with 15-20 stale tasks scattered across their board—blocked items, abandoned spikes, duplicates. The Kanban Tool MCP is the right call here because the change task lifecycle tool lets an AI agent archive or soft-delete tasks in batch based on natural-language criteria ('archive all tasks tagged experiment that haven't moved in 10 days'), and the get task tool pulls full context (comments, changelog) so the agent can confirm intent before acting. The threshold: if your team uses custom fields heavily for retrospective tagging, this MCP won't see them, so you'll need manual triage first. For teams that rely on standard Kanban Tool metadata—tags, due dates, workflow position—this turns a 30-minute cleanup into a 3-minute prompt.

When this MCP handles support-to-engineering escalation

A 3-person support team triages incoming requests in Kanban Tool and escalates 5-8 technical issues per week to engineering by creating tasks with detailed context. The Kanban Tool MCP is a strong fit because the create task tool supports external references (ticket IDs), tags, and assignment in one call, and the add comment tool lets the AI agent append diagnostic notes or customer quotes after the handoff. The get board tool ensures the agent places tasks in the correct workflow stage without hardcoding column IDs. The trade-off: if your escalation process requires attaching files (screenshots, logs), this MCP doesn't handle uploads, so you'll still need a manual step or a separate file-storage integration. For text-heavy handoffs where context lives in comments and metadata, this MCP closes the loop.

When Kanban Tool MCP structures ad-hoc client requests

A solo consultant or 2-person agency uses Kanban Tool to track client projects and receives 10-15 unstructured requests per week via email or Slack. The Kanban Tool MCP is the right tool because the create task and create subtask tools let an AI agent parse a client message, generate a parent task with due date and estimate, and break it into subtasks with optional assignments—all from a single prompt. The list boards tool ensures the agent routes tasks to the correct client board when managing multiple accounts. The boundary: if your intake process requires time tracking from day one, this MCP can't start trackers (only fetch them via get task), so you'll need to enable them manually or use a webhook. For teams where the bottleneck is turning messy requests into actionable task hierarchies, this MCP pays for itself in the first week.