Agent Disco

Schwanki

Turn any language chat into a scrollable spaced-repetition feed, filed by teacher or lesson.

View in the Claude registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

Schwanki is spaced repetition you scroll like Reels. Whatever chat you use to practice or translate a language can save the words as a deck, filed under the chat, lesson, teacher or theme it came from. The cards land in your swipe review feed on your phone, scheduled by FSRS. Claude can also read your decks and see which words you keep forgetting, so it can build practice and new decks around them, and it checks what you already have so it never saves duplicates. Tools: list_decks and get_deck_cards (read-only), save_review_deck (adds a new deck). Connected apps can't edit or delete your decks, cards or review history.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Pending

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.

Brand
Unknown
Access
Account required
First tracked
2026-11-12
Tool count
3
Market
US
AgentDiscoClaude Discoverability Score

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What discovery looks like

Claude showing a list of relevant Connectors in a conversation

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Primary Subcategory

Competitive lineup

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

3 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

Schwanki Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve Schwanki'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.