docket.rocks
Your agency's projects, tickets and hours in Claude: see your week, book time, update tickets.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
docket is project management, time tracking and accounting for agencies, made in Germany. This connector brings your docket workspace into Claude. Ask what's on your plate this week, which projects are running over budget, where a ticket stands or which designer still has time. Claude looks it up in docket and answers with your real numbers. Work without switching tabs: "Log 90 minutes on the homepage relaunch, design review." Start, pause and book stopwatches, create a ticket for Friday, comment on it, move it to next week or close it when it's done. Claude asks before every change. Claude works as you. It sees exactly the projects, tickets and figures your role shows you in docket: budgets, invoices and revenue only if you may see them there. It only ever books, changes or deletes your own time, never anyone else's. Tickets mirrored from Jira stay as they are. When you connect, docket asks for your workspace and you sign in with your own docket login (two-factor included). An admin turns on AI connections for the workspace first. You can disconnect at any time in your docket profile.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-10-27
- Tool count
- 30
- Market
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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Competitive lineup
30 tools agents can invoke
docket.rocks Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve docket.rocks's Claude Connector 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.


