WorkIt
Workit's MCP Server allows users to create unique answers to job applications through the company's chrome extension.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
The MCP server allows users to generate, edit, and submit answers to short-answer job application questions easily through our autofill extension and the user's experience bank in our website. Some key features include: Three tools: get_next_application loads in the job application the user queued up for an autofill job, using their job experiences submitted on our website. save_answers saves the Claude answers server-side, creating them using confirmed facts from the user, constraints on the word count, and using the user's writing techniques as a basis. save_fact_question allows Claude to prompt the user for missing info needed to improve the answer. Evidence-grounded answers: The answers are created based on a planning stage that quotes the source material exactly, omitting answers that don't correlate with it. OAuth Sign-In: WorkIt uses OAuth 2.1 authorization server the user just has to sign into Claude's connector flow. Minimal data expoosure: Claude will only read in the user's experiences from the WorkIt site, and will never ask for personal details, self-identification answers, or derive information from previous Claude chats. Human-Controlled: The editing and submission process are handled by the user only.
- 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
- 2026-11-06
- Tool count
- 9
- 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
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WorkIt Claude Connector FAQ
How the directory, categories and Discoverability Score work.
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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.


