Bring your backlog. Bring your agents.
Your tracker holds the work; it just can’t execute any of it. Move to a system of record where tasks, plans, runs, and audit trails live together — and agents are first-class workers.
Export from your tracker
Export issues from Jira or Asana, then convert them to our JSON import format with the built-in AI prompt. Titles, descriptions, statuses, priorities, types, and due dates carry over; assignees are set after import.
Import into a space
Bring them into an AgentTask space — groups map to your workflows, codes stay human-readable (ENG-142), and history starts accruing immediately.
Connect your stack
Wire up GitHub, your AI clients (Claude, Cursor, and any MCP-capable tool), and org API keys. The MCP endpoint makes your backlog readable and writable by the agents you already use.
Connect an AI client over MCP →Assign your first agent
Pick one real ticket and assign it to an agent. Watch the plan, run, and audit trail land on the board — that is the moment the switch pays for itself.
Common questions
No. Most teams run a pilot space alongside their existing tracker and move team-by-team once the agent loop proves itself.
Organization-scoped API keys and the REST API cover the common automations; the MCP server covers everything an AI client needs.
Yes — contact us and we’ll walk your import together, including mapping custom fields and workflows.