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Done Bear MCP

A GTD task manager an agent can actually drive. Done Bear is a local-first task manager with a hosted MCP surface: tasks, projects, checklists, comments, attachments, labels and teams, with bulk operations and GTD views (inbox, today, upcoming, anytime, someday). Live-probed Sep 1, 2026: all 35 tools captured from the endpoint (serverInfo: donebear v0.7.0), OAuth-gated for writes.

Server type: Hosted, remote (Streamable HTTP)
Endpoint: https://mcp.donebear.com/mcp
Auth: OAuth 2.1
Tools: 35 (live-probed Sep 1, 2026)
Registry: com.donebear/donebear v1.0.0 (active, updated Aug 16, 2026)
Also listed: Smithery (donebear/donebear)
Website: donebear.com

Why This Matters for Operators

Most task managers expose a read-only "AI view" or none at all. Done Bear's MCP is the full workspace: the agent can create, plan and complete real work, not just summarize it.

First, write-side GTD. task_add routes new tasks into inbox, today, upcoming, anytime or someday views, so agent-created work lands in the same system the human already runs on.

Second, bulk operations with confirmation semantics. task_bulk_edit and task_bulk_done move up to 50 tasks per call, and the tool descriptions themselves instruct the agent to confirm the number list with the user first.

Third, full collaboration context. Comments, attachments (server-side fetch and storage, never raw file bytes through the model), labels and team assignment make the workspace a shared surface between the agent and the team rather than a private agent log.

Tools and Capabilities

All 35 tools captured live Sep 1, 2026; grouped by surface.

Surface Tools
Workspace context guide, get_context, search - per-topic product guides, workspace snapshot, ranked lexical search
Tasks task_list, task_show, task_add, task_edit, task_done, task_reopen, task_archive, task_bulk_edit, task_bulk_done, task_assign
Projects project_list, project_add, project_join, project_leave, project_edit
Checklists checklist_list, checklist_add, checklist_done, checklist_edit, checklist_remove
Comments comment_list, comment_add, comment_edit, comment_remove
Attachments task_attachment_list, task_attach, task_attachment_remove
Labels and teams label_list, label_create, label_add, label_remove, team_list

Installation

claude mcp add --transport http donebear https://mcp.donebear.com/mcp

First connection opens OAuth sign-in to your Done Bear workspace. The hosted endpoint is POST-only Streamable HTTP; follow the vendor's get-started guide at donebear.com/docs/mcp/get-started for client-specific steps.

Configuration

{
  "mcpServers": {
    "donebear": {
      "type": "http",
      "url": "https://mcp.donebear.com/mcp"
    }
  }
}

The grant scopes the agent to the connected workspace. Comments are attributed to the connected user and are visible to the whole workspace, so the agent writes as a teammate.

Business Relevance

  • Founders and solo operators hand the agent their inbox and today lists, letting it triage, schedule and complete GTD-state changes directly.
  • Small teams use one workspace where agent-created tasks, comments and attachments sit alongside human work with attribution.
  • Agency PMs use bulk edits to sweep 50 stale tasks at once and team assignment to route agent findings to the right owner.
  • Workflow builders attach generated files to tasks by URL, so reports and exports land on the task they belong to.

Integration with CorpusIQ

Done Bear composes with CorpusIQ as the execution ledger for agent work. A CorpusIQ workflow that flags anomalies in Stripe, HubSpot or Google Ads can create the follow-up task in Done Bear with the full context attached, assign it to the owner, and check the task off when the metric recovers. The operator keeps one governance point: Done Bear holds the plan and the history of who did what, while CorpusIQ supplies the business data that decides what goes on the list. The bulk-done tool's explicit confirm-first semantics match the operator's control expectations.

Limitations

  • Brand new listing; the submission's GitHub link (github.com/donebear/donebear) is not yet publicly accessible - registry name and live endpoint verified instead.
  • Writes require OAuth sign-in; no anonymous or API-key mode.
  • Comments and task assignment are workspace-visible, so agent activity is attributed and reviewable rather than silent.
  • Hosted service only; no self-host option documented.

See Also

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