Done Bear Docs

Learn how to use the Done Bear CLI and GraphQL API.

Done Bear Docs covers five ways to work with Done Bear outside the web app. Use the MCP server to connect AI coding assistants. Use skills to teach agents how to run the CLI. Use the Raycast extension for keyboard-driven task management. Use the CLI for terminal workflows. Use the API for programmatic integrations and data access.

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MCP docs

Connect AI coding assistants like Claude, Cursor, and VS Code Copilot to your Done Bear tasks using the Model Context Protocol.

npx @donebear/mcp

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Skills docs

Install agent skills so AI coding assistants like Claude Code, OpenCode, Codex, and Cursor can operate the Done Bear CLI on your behalf.

npx skills add donebear/skills -g --all -y

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Skills

Raycast docs

Search, create, and complete tasks from Raycast without leaving your keyboard.

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Raycast

CLI docs

Use the CLI to sign in, pick a workspace, create tasks, export data, and import from Things 3.

npm install -g donebear
donebear auth login
donebear task add "Ship docs" --when today

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API docs

Use the GraphQL API to query and mutate tasks, projects, teams, labels, workspaces, and API keys.

curl https://api.donebear.com/graphql \
  -H "Authorization: Bearer <token>" \
  -H "Content-Type: application/json" \
  --data '{"query":"query { myWorkspaces { id name } }"}'

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