What does the server use to store data?
It interacts with a local Anki collection file (`collection.anki2`). The path can be set via the `ANKI_COLLECTION_PATH` environment variable; otherwise it uses Anki’s default location.
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"vionwinnie_jap-vocab-anki-mcp-server": {
"command": "python",
"args": [
"-m",
"anki_mcp.server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol server that allows Language Models to interact with Anki decks programmatically, with special support for Japanese language learning. It enables listing decks, viewing and adding cards, reviewing with spaced repetition, and importing Japanese vocabulary with readings, meanings, and sample sentences.
Clone the repository, ensure Anki is not running, optionally set the ANKI_COLLECTION_PATH environment variable, then run python -m anki_mcp.server. Use the provided tools, resources, and prompts to manage Anki decks and study Japanese vocabulary through an MCP-compatible client (e.g., Claude).
It interacts with a local Anki collection file (`collection.anki2`). The path can be set via the `ANKI_COLLECTION_PATH` environment variable; otherwise it uses Anki’s default location.
The server expects a note type named "Japanese (recognition)" with fields: Expression, Meaning, and Reading (furfurigana and sample sentences go in the Reading field).
Yes, basic card management tools (`add_card`, `review_card`, `get_card_history`) work with any deck, but the Japanese-specific tools (import, sentence update) require the "Japanese (recognition)" note type.
The server runs as a standard MCP server using stdio transport (started via `python -m anki_mcp.server`). It does not expose an HTTP or WebSocket endpoint.
Anki must not be running at the same time to avoid database locks. The server only accesses the local Anki collection; it does not sync with AnkiWeb automatically.

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