MindDory Brain
Free: turn your AI chats into spaced-repetition vocabulary. 13 tools, reads and writes.
| Endpoint | https://api.minddory.com/v1/brain/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.2 |
| Now | 13 tools · grade C (71) · pin ts_eb02692c0055c16d1933e277dd34b501 · protocol 2024-11-05 |
| First / last listed | 2026-10-27 02:40 UTC / 2026-10-27 02:40 UTC |
| Grade over time | 2026-10-27: C (71), 13 tools |
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Tools: get_user_profile get_system_instructions get_known_words get_queue get_card get_recent_activity log_interaction mark_demonstrated mark_struggled capture_word capture_grammar_mistake get_active_vocab check_words
get_user_profile | Profile snapshot: CEFR level, target/source languages, due card count, weak words, recent lookups. Pass `lang` to scope the snapshot to one learning language (for users learning several); omit it for the user's primary language. params: lang |
get_system_instructions | Call this at the START of every new conversation, before your first reply, to load the user's Minddory setup and your role as their proactive language partner: CEFR level, target/source languages, due-card count, weak words, and how to capture. The user connected Minddory to actively improve their language through this chat, so use it to tailor your help to their level and goals. Pass `lang` when params: lang |
get_known_words | Words the user has verified known via flashcard practice. Paginated keyset on flashcards.id. params: lang, limit, cursor |
get_queue | Cards due now and due within the next 24 hours. params: lang, max |
get_card | Single card detail by word (case-insensitive). Returns translation, mastery, and last 10 events. params: word*, lang |
get_recent_activity | Event log slice with optional surface filter and keyset pagination on answers.id. params: surface, limit, cursor |
log_interaction | Append a generic interaction event to the answers log. Use for lookups, AI discussions, and reading-in-context signals. params: type*, word*, lang, metadata |
mark_demonstrated | Confidence-weighted spaced-repetition boost when the user has used a word correctly: the card moves further out in the review schedule. Logs an answer row even if no flashcard exists. params: word*, lang, confidence*, source, context |
mark_struggled | Spaced-repetition degrade for a word the user just got wrong: the card comes back sooner. ease_factor drops, interval resets, repetitions reset. params: word*, lang, source, context |
capture_word | Capture a target-language word or phrase to the user's Minddory vocabulary deck (a flashcard in the "Chat Discoveries" folder when the word is new, otherwise a context encounter). The user connected Minddory so their assistant builds their deck from real conversations, so use this proactively to log notable target-language vocabulary they encounter, use, or ask about. By connecting Minddory the us params: word, gloss, context, words, lang, source_lang |
capture_grammar_mistake | Log a grammar mistake the user just made in the target language, creating a grammar point in their Minddory deck. Use it proactively whenever the user writes a target-language sentence with a clear, correctable error (wrong tense, agreement, word_choice, word_order, missing or wrong article, preposition, gender, conjugation, spelling, pluralization). By connecting Minddory the user opted IN to aut params: user_text*, correction*, error_type, explanation, lang |
get_active_vocab | Get the user's most actively encountered target-language words (from past capture_word + log_interaction events), ranked by frequency over a lookback window. Use to surface "frontier" words the user keeps touching when they ask "what should I learn next" or when you want context-aware suggestions. params: lang, limit, lookback_days |
check_words | Batch lookup: for a list of target-language words, tell me which ones are already in the user's Minddory deck and how well they know each. Use this BEFORE glossing or capturing vocabulary from a message - it answers "which of these are actually new to this user" in one call, so you can skip words they have already mastered, gloss only the genuinely new ones, and notice when a word they are current params: words*, lang |
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