vocab-mcp

vocab-mcp

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.

Category
访问服务器

README

vocab-mcp

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.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选