anki-mcp 0.1.0

An Anki MCP server

Anki MCP Server

A Model Context Protocol (MCP) server for integrating AI assistants with Anki, the popular spaced repetition flashcard software.

Features

This MCP server enables AI assistants to interact with Anki through the following tools:

Tools

• add-notes: Add one or more notes to Anki

  • Create new flashcards with specified deck, model, and field values
  • Returns success/failure status for each note

• update-notes: Update one or more existing notes in Anki

  • Modify field values and/or tags for existing notes
  • Requires note IDs for the notes to be updated

• find-notes: Find notes matching a query in Anki

  • Search for existing notes using Anki's search syntax

• check-connection: Check connection to Anki

  • Verifies that AnkiConnect is running and accessible

• list-decks: List all available decks in Anki

  • Returns a list of all deck names in your Anki collection

• get-cards-reviewed: Get the number of cards reviewed by day

  • Retrieves review statistics showing cards studied per day

• list-models: List all available note models in Anki

  • Returns a list of all note types (models) available in your collection

• get-model-fields: Get all field names and descriptions for a specific Anki note model

  • Shows the structure of a specific note type, including field names and descriptions

Requirements

• Anki must be installed and running
• AnkiConnect add-on must be installed in Anki

Configuration

Claude Desktop

To add this MCP server to Claude Desktop:

On MacOS: Edit ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: Edit %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration

"mcpServers": {
  "anki": {
    "command": "uv",
    "args": [
      "--directory",
      "/Users/path/to/anki-mcp",
      "run",
      "anki"
    ]
  }
}

Published Servers Configuration

"mcpServers": {
  "anki": {
    "command": "uvx",
    "args": [
      "anki"
    ]
  }
}

Development

Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:

uv sync

2. Build package distributions:

uv build

This will create source and wheel distributions in the dist/ directory.

3. Publish to PyPI:

uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

• Token: --token or UV_PUBLISH_TOKEN
• Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory /path/to/anki-mcp run anki

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.