Klokka
Log and check work hours, jobs and monthly totals for your team in Klokka, the free time-tracking app for small businesses.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Klokka is a free app where an employer logs the hours each employee worked, per day, and both sides see the month add up. With the Klokka connector you can do the same from a chat in Claude. For employers: - Log or correct hours for one or several employees ("Log eight hours for Maria today"). - See who worked the most this week or month, and how it compares with last month. - Plan jobs with a time, note and place, including repeating jobs. - Invite people, answer flags and close a month. For employees: - Ask about your own hours, months and upcoming jobs. - Flag a day that is wrong. Claude uses the same account, permissions and rules as the Klokka apps, so an employee never sees a colleague's hours or pay. Each user chooses whether Claude may read and write, only read, or nothing at all. Every change made through Claude is marked "via Claude" in the day's history. Works in English and Swedish, for one business or several.
- 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
- 2026-11-12
- Tool count
- 31
- 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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What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competitive lineup
31 tools agents can invoke
Klokka Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Klokka'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.


