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Vocab

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A vocabulary-bank MCP server that allows users to collect unfamiliar words, organize them into decks, review with spaced repetition, and enrich with definitions

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Описание

A vocabulary-bank MCP server that allows users to collect unfamiliar words, organize them into decks, review with spaced repetition, and enrich with definitions and pronunciation, all stored locally.

README

CI PyPI Python License: MIT

A vocabulary-bank MCP server. Use it from Claude Desktop (or any MCP host) to collect unfamiliar words while you read or chat, organise them into decks, review them on a spaced-repetition schedule, enrich them with definitions and examples, and even hear them pronounced — all stored locally on your machine.

Features

  • Save while you read. Hand any word to Claude — it saves the spelling, definition, phonetic, example, source sentence, and tags.
  • Spaced repetition. Pure-Python SM-2 algorithm tracks mastery and the next review date for each word.
  • Multiple decks. Group words by topic, exam, language, or project. The same word can live in different decks with different definitions.
  • Quizzes that adapt. Multiple-choice, fill-in-the-blank, and definition-match. Claude (the host) writes the questions itself — no API key needed.
  • Content enrichment. enrich_word fills in definition / phonetic / part-of-speech / synonyms / antonyms. By default Claude does it from its own knowledge; opt into the free dictionaryapi.dev lookup with use_api=True.
  • Pronunciation. pronounce_word returns an MP3 audio block via gTTS (multilingual, no API key, cached locally).
  • MCP resources & prompts. Browse decks, due lists, and stats as vocab://... resources; trigger a daily review or vocab capture from a passage with one prompt.

Install

pip install vocab-mcp                  # core only
pip install "vocab-mcp[tts]"           # + gTTS pronunciations
pip install "vocab-mcp[enrich]"        # + dictionaryapi.dev lookup
pip install "vocab-mcp[all]"           # everything

Python 3.10+. macOS / Linux / Windows.

Configure Claude Desktop

Edit (or create) ~/Library/Application Support/Claude/claude_desktop_config.json on macOS — equivalent paths exist on Windows and Linux:

{
  "mcpServers": {
    "vocab": {
      "command": "vocab-mcp"
    }
  }
}

Restart Claude Desktop fully (⌘Q on macOS). The new tools should appear in the tools panel.

If vocab-mcp isn't on your PATH (e.g. you installed into a conda env), use the absolute path:

{
  "mcpServers": {
    "vocab": {
      "command": "/path/to/python",
      "args": ["-m", "vocab_mcp"]
    }
  }
}

Tool / Resource / Prompt reference

Tools

Tool Purpose
save_word Save one word into a deck.
save_words_batch Save many words at once.
set_word_fields Patch existing fields on a word.
enrich_word Get definition / phonetic / POS / synonyms / antonyms.
pronounce_word Synthesize a pronunciation MP3 (requires [tts]).
list_words / search_word / get_stats Browse a deck.
list_decks / create_deck / delete_deck Manage decks.
get_due_words / generate_quiz / submit_quiz_result Review flow.

Resources

  • vocab://decks — index of all decks
  • vocab://decks/{name} — full contents of a deck
  • vocab://decks/{name}/due — words due in a deck
  • vocab://decks/{name}/stats — per-deck stats
  • vocab://stats — library-wide stats

Prompts

  • daily_review(deck, limit) — start a review session
  • capture_vocab(passage, deck) — extract candidate words from a passage
  • quiz_session(deck, count, quiz_type) — ad-hoc quiz session

Multi-deck workflow

> "create a deck called gre"
> "I'm reading <passage>. Save any high-utility words to gre."
> "what's due in gre today?"
> "quiz me on 10 gre words"
> "show me library stats"

Data location

Everything lives at ~/.vocab-mcp/:

~/.vocab-mcp/
├── vocab.db           # SQLite database
└── audio/             # cached pronunciation MP3s

Override with VOCAB_DATA_DIR=/some/dir (or just the database path with VOCAB_DB_PATH=/some/file.db).

The database is per-user, local, and never uploaded anywhere. Two users on the same machine using different OS accounts each get their own DB.

Development

git clone https://github.com/Code-byte404/vocab-mcp
cd vocab-mcp
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
ruff check .
pytest

CI runs the same checks across Python 3.10–3.12 on Ubuntu and macOS.

Contributing

See CONTRIBUTING.md. Issues and PRs welcome — please file an issue before sending large changes.

License

MIT.

from github.com/Code-byte404/vocab-mcp

Установка Vocab

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/Code-byte404/vocab-mcp

FAQ

Vocab MCP бесплатный?

Да, Vocab MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Vocab?

Нет, Vocab работает без API-ключей и переменных окружения.

Vocab — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Vocab в Claude Desktop, Claude Code или Cursor?

Открой Vocab на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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