jap-vocab-anki-mcp-server
Japanese Vocab Anki MCP Server
Install / Use
claude mcp add vionwinnie -- npx -y github:vionwinnie/jap-vocab-anki-mcp-serverIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of jap-vocab-anki-mcp-server
jap-vocab-anki-mcp-server scores 60/100 on our quality scale, 2735th of 2,894 Automation skills we index.
Its MCP Server is 3.9 KB long, well organised into 17 sections with 3 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 1.5 years ago. Expect some instructions to reference tool versions or APIs that have since changed.
- Our last check on 2026-09-14 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 75/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-29. Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
jap-vocab-anki-mcp-server compared with similar skills
All 4 of these similar skills score higher than jap-vocab-anki-mcp-server; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| jap-vocab-anki-mcp-server (this skill)by vionwinnie | 60 | 3 | 18mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 101.9k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.7k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.6k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 89.6k | 2d ago | MCP Server |
Frequently asked questions
- How do I install jap-vocab-anki-mcp-server?
- Run
claude mcp add vionwinnie -- npx -y github:vionwinnie/jap-vocab-anki-mcp-server. The install tabs above show the steps for each supported agent. - Which AI agents does jap-vocab-anki-mcp-server work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is jap-vocab-anki-mcp-server safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 75/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is jap-vocab-anki-mcp-server still maintained?
- The repository was last updated about 1.5 years ago. Expect some instructions to reference tool versions or APIs that have since changed.
Skill content
View source on GitHubJapanese Vocab Anki MCP Server
A Model Context Protocol server implementation for interacting with Anki decks programmatically. This server allows Language Models to interact with Anki through a standardized interface, with special support for Japanese language learning.
This is vibe-coded with Cursor with Claude 3.5 Sonnet.
Features
- List available decks
- View cards in decks
- Add new cards
- Review cards with spaced repetition
- Import Japanese vocabulary with readings and meanings
- Add sample sentences to Japanese vocabulary cards
- Track review history and learning progress
End-to-End Example: Japanese Vocabulary Study with Claude
Here's a complete workflow showing how to use Claude to enhance your Japanese vocabulary cards with sample sentences.
Step 1: Generate Fill-in-the-Blank Exercises
First, ask Claude to create practice exercises using the study_japanese_vocab_prompt:

Claude will look through your recently reviewed vocabulary and create contextual sentences with blanks to test your understanding.
Step 2: Convert to Sample Sentences
Next, use the vocab_sentences_json_prompt to convert these sentences into a structured format:
Claude will transform the sentences into a JSON dictionary mapping each vocabulary word to its sample sentences.
Step 3: Update Anki Cards
Finally, use the update_notes_with_sentences tool to add these sentences to your Anki cards:

The sentences will be added to the reading field of each vocabulary card, providing more context for your studies.
Results in Anki
After the update, your cards will include the new sample sentences:

This workflow helps you:
- Practice vocabulary in context through fill-in-the-blank exercises
- Add natural example sentences to your cards
- Build a more comprehensive understanding of each word's usage
Installation
- Clone this repository:
git clone https://github.com/vionwinnie/jap-vocab-anki-mcp-server.git
cd jap-vocab-anki-mcp-server
Usage
-
Make sure Anki is not running (to avoid database locks)
-
Set the path to your Anki collection (optional):
export ANKI_COLLECTION_PATH="/path/to/your/collection.anki2"
- Run the server:
python -m anki_mcp.server
Available Resources
anki://decks- List all available Anki decksanki://deck/{deck_name}/cards- List all cards in a specific deckanki://recent/reviewed- View cards reviewed in the last 24 hoursanki://recent/learned- View cards learned (graduated from new) in the last 24 hours
Available Tools
Basic Card Management
add_card(deck_name: str, front: str, back: str)- Add a new card to a deckreview_card(card_id: int, ease: int)- Review a card with a specific ease (1-4)get_card_history(card_id: int)- Get detailed review history for a specific card
Japanese Vocabulary Features
import_japanese_vocab(csv_path: str, deck_name: str, tags: str = None)- Import Japanese vocabulary from CSVupdate_notes_with_sentences(vocab_sentences: Dict[str, List[str]], deck_name: str = "Try! N3 Vocab")- Add sample sentences to vocabulary notes
Review History
get_deck_review_history(deck_name: str)- Get review history for all cards in a deck within the past 24 hours
Available Prompts
create_deck_prompt(deck_name: str)- Get help creating a new deckreview_history_prompt()- Get help analyzing review historystudy_japanese_vocab_prompt()- Get help with Japanese vocabulary studyvocab_sentences_json_prompt()- Generate JSON dictionary mapping vocab to sample sentences
Japanese Note Type Requirements
The server expects a note type called "Japanese (recognition)" with the following fields:
- Expression (Japanese word)
- Meaning (English meaning)
- Reading (with furigana and sample sentences)
License
MIT License
Related Skills
Agent-Reach
101.9kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
77.7kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
CowAgent
47.6kOpen-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Scrapling
89.6k🕷️ A Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
