Agent Discoverability

Flying Donut

Plan and track agile work

View in the ChatGPT registry
Category
Productivity
Primary Subcategory
Pending
Integration details

Description

Flying Donut is a Scrum and Kanban tool for agile teams. Connect it to ChatGPT to work with your Flying Donut projects in conversation. What ChatGPT can do: - Find projects, their members and labels - Review sprints, the backlog and backlog buckets, and look up cards and tasks by their number (for example WEB-12) - Create cards and tasks, update them, and move them between the backlog, sprints and board lanes - Assign and unassign people, block and unblock cards, add or remove labels, and log time on tasks - Create, update and start sprints - Delete cards, tasks and labels, if you allow it You stay in control. When you connect, you sign in to Flying Donut, choose which projects ChatGPT may use, and choose which permissions to grant: read projects, read work, change work, delete work. ChatGPT can only do what your own Flying Donut role allows in those projects, and projects you join later are not added. ChatGPT asks before it changes anything. You can review or revoke the connection at any time in Flying Donut under Account, Connected apps. Requires a Flying Donut account (flyingdonut.io).

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Productivity

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-11-04
Tool count
39
Market
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Flying Donut has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

39 tools agents can invoke

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FAQs

Flying Donut ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

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How do I improve Flying Donut's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.