MindDory Brain

Last 30 days

Uptime

100%

Response time

424 ms typical, 456 ms slowest 5%

Last check

9 h ago

Next check

any minute now

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "minddory-brain": {
      "type": "http",
      "url": "https://api.minddory.com/v1/brain/mcp"
    }
  }
}

13 tools

• 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.

• 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 acti

• get_known_words

  Words the user has verified known via flashcard practice. Paginated keyset on flashcards.id.

• get_queue

  Cards due now and due within the next 24 hours.

• get_card

  Single card detail by word (case-insensitive). Returns translation, mastery, and last 10 events.

• get_recent_activity

  Event log slice with optional surface filter and keyset pagination on answers.id.

• log_interaction

  Append a generic interaction event to the answers log. Use for lookups, AI discussions, and reading-in-context signals.

• 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.

• 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.

• 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 thi

• 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 wr

• 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-

• 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 y

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