MCP Examples

Overview

These examples show how AI agents use AutoMD’s MCP tools in real workflows.

Example: Sprint planning

An agent reads the backlog, estimates effort, and organizes tasks into a sprint:

Agent: "Let me look at the backlog and plan the sprint."
→ calls list_boards()
→ calls filter_tasks(board: "project", column: "Backlog")
→ calls move_task(task: "auth-module", to: "Sprint 1")
→ calls update_task(task: "auth-module", metadata: { priority: "high", est: "4h" })

Example: Automated triage

An agent monitors new issues and triages them automatically:

Agent: "I'll triage the new tasks."
→ calls filter_tasks(column: "Inbox")
→ calls update_task(task: "login-bug", metadata: { priority: "high", labels: ["#bug"] })
→ calls move_task(task: "login-bug", to: "Backlog")