Enables AI agents to create, query, update, claim, hand off, and complete tasks on a local SQLite-backed, project-namespaced kanban board through stdio MCP tools, including filtering for ready/blocked/stale work and exchanging task attachments. It also lets agents list projects and manage statuses, ownership, and evidence without any server or accounts.
Enables coding agents to read and write a local kanban board, adding and editing cards, moving them between columns, managing projects, and writing update entries so their work is visible in real time.
Enables AI agents to manage tasks through a board with backlog, ready, in-progress, and done columns, plan daily work, track velocity, forecast backlog completion, and leverage rule-based or DeepSeek-powered recommendations.
Enables AI assistants to manage tasks in a kanban board organized as markdown files, with operations to create, update, delete, move tasks, manage lanes, and get statistics.