Server data from the Official MCP Registry
Turn AI chats into vocabulary: capture words and grammar into spaced-repetition flashcards.
Turn AI chats into vocabulary: capture words and grammar into spaced-repetition flashcards.
Remote endpoints: streamable-http: https://api.minddory.com/v1/brain/mcp
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-minddory-brain": {
"url": "https://api.minddory.com/v1/brain/mcp"
}
}
}From the project's GitHub README.
The official Model Context Protocol server for MindDory, an AI flashcard and vocabulary-learning app.
Connect MindDory to Claude (or any MCP-compatible client) and your AI becomes a language study partner: as you chat in a language you are learning, it captures the new words and phrases you meet into spaced-repetition flashcards, logs grammar mistakes for review, and can quiz you on whatever is due today — all scoped to your CEFR level and target language. Everything syncs with the MindDory apps (iOS, Android, and web at app.minddory.com).
It is transparent and opt-in: you connect MindDory yourself, and on its first reply the assistant tells you it is connected and will add new vocabulary as you chat. It never captures silently, and it answers honestly if you ask what it has saved.
https://api.minddory.com/v1/brain/mcpSettings → Connectors → Add custom connector → paste the endpoint URL above, then complete the magic-link sign-in. Setup guide: https://minddory.com/connect
| Tool | Type | What it does |
|---|---|---|
get_system_instructions | read | Load the learner profile + study-partner role for the conversation |
get_user_profile | read | CEFR level, target/native language, due-card count, weak words |
get_queue | read | Cards due now and within 24 hours |
get_known_words | read | Words verified known via flashcard practice |
get_active_vocab | read | Most frequently encountered words (frontier vocabulary) |
get_card | read | Single card detail (translation, mastery, recent events) |
get_recent_activity | read | Recent interaction log |
capture_word | write | Save a new word/phrase from chat into the deck |
capture_grammar_mistake | write | Log a grammar mistake into the Grammar Patterns view |
mark_demonstrated | write | Reinforce a word used correctly (SM-2 boost) |
mark_struggled | write | Down-weight a word the user got wrong (SM-2) |
log_interaction | write | Append a lookup / discussion / read-in-context signal |
Read tools are annotated readOnlyHint; write tools mutate only the user's own
deck and are additive (destructiveHint: false).
Built on the proven SM-2 spaced-repetition algorithm. Free to connect; advanced spaced-repetition writes are part of MindDory Premium.
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