ZIV
Save English words to your ZIV vocabulary straight from the chat — translated and ready to practise.
- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
ZIV helps Russian speakers learn English by reading real texts and keeping the words they meet. This connector lets Claude add words and phrases to your own ZIV vocabulary while you read, write or chat. Ask Claude to "add ephemeral to ZIV" and the word appears in your ZIV app with a natural Russian translation, ready for training, spaced-repetition reviews and games. You can pass your own translation, or let ZIV translate it the same way the app's quick-add does. If the word is already in your list, Claude tells you and nothing changes. Key features: - Add single words, phrasal verbs, idioms and phrases - Automatic, context-aware Russian translations - Duplicate detection: never saves the same word twice - Safe by design: the connector only adds words; it cannot read, edit or delete your data - Secure sign-in with your ZIV account (OAuth 2.0) Requires a free ZIV account (ziv-tutor.app).
- 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
- 2026-10-16
- Tool count
- 1
- Geography
- 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
1 tool agents can invoke
ZIV 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.