Done is one board for the work you keep and the work you hand off. Assign a task to an AI agent, it does the job and reports back — and nothing reaches done without your sign-off.
Every task says who has it: you, an agent, or you again for review. No second tool, no separate agent dashboard, no wondering where a piece of work went.
Pricing, hiring, the email you'd never let a machine send. Capture in plain language — the date, priority and project parse out of one line.
The agent claims the task, proposes how it will work, does it, and posts the result into the task's own thread. Blocked work stays blocked.
Plans to green-light, questions to answer, finished work to sign off — one queue, cleared in a couple of minutes from the keyboard.
It travels over your account’s own MCP endpoint — not a shared key, not a third party’s queue — and returns to the row it left, with a thread of everything that happened.
Point an agent at your queue on a schedule and it works unattended. You set the caps — tasks, minutes, tool calls per night. Questions collect quietly and you clear them over coffee.
An agent can propose a completion. It cannot mark your task done — not through the API, not through a flag it sets itself. The permission lives in the credential, so there is no route around it.
Every account gets its own MCP endpoint over OAuth or a bearer token. Paste one URL and your client is connected — scoped to your data, revocable in a click.
$ claude mcp add --transport http done https://trydone.app/mcp▌One vague task becomes a clean set of subtasks in a single action — by you, or by an agent on your behalf.
Anything, anywhere, without the mouse — and it searches what happened, not just titles.
One task, full screen, a timer. Everything else disappears.
Cycle-checked “blocked by” chains keep agents from jumping the queue.
A North Star tier above projects, so a week’s tasks ladder up to something.
Stats show the completion trend, your streak, and honestly how much of what shipped came from an agent.
Your open work, time-blocked into the gaps your calendar leaves. When a meeting moves, it re-plans and tells you what changed — “your 2:00 PM moved to 3:00 PM, two blocks shifted” — instead of quietly showing you a day you no longer have.
What shipped, who closed it, what rolls over — and one line on how it went.
Ramble five things at once; they arrive as five separate tasks to keep, edit or drop.
Every core feature is on the free tier. You pay when your agents get busy.
Done is an AI to-do app and task manager. You capture tasks in plain language, and you can assign the ones you don't want to do yourself to an AI agent — Claude, ChatGPT, or any MCP-compatible model — that reads the task's context, does the work, and reports back in its activity feed.
A normal to-do list only tracks work. Done also helps finish it: quick capture parses dates, priority, and projects as you type; auto-decompose breaks a big task into subtasks; and any task can be handed to an AI agent — Claude, ChatGPT, or another model — instead of sitting in your backlog.
Yes. Every task can be assigned to an AI agent. Because Done is MCP-native, whichever model you connect — Claude, ChatGPT, or another — picks it up, works on it, and posts progress and results straight into the task's activity feed.
Any MCP-compatible client. Done is MCP-native: every account gets its own remote MCP endpoint over OAuth or a bearer token, so Claude, ChatGPT, Cursor, and custom agents all connect securely and stay scoped to your data alone. See the docs for setup.
It can claim a task assigned to it, work through the queue by priority, auto-decompose a task into subtasks, and comment results back. Recurring and dependency rules keep it from jumping ahead of blocked work.
It parks the question and moves on to the next task instead of stalling. The question waits for you in the Control Room with the agent's own recommendation and reasoning, so answering is usually one click — and you can answer straight from a Slack DM. Answering hands the task back to the agent with your answer attached; it never approves or completes anything on its own.
Yes. Point any MCP client at Done on a schedule and it works the queue unattended. You set caps on how far one night may go — tasks, minutes and tool calls — and choose whether questions ping you as they're asked or collect quietly so you clear them in one pass in the morning.
Done has a free tier with every core feature and 100 AI agent (MCP) calls a month — no credit card. Pro is $5/month for unlimited agent calls, and Teams is $20/month to add teammates and share workspaces.
Sign up with an email, connect your agent, and see what an empty board feels like.