Anki 闪卡管理 MCP 服务器

Anki Connect MCP Server

A Model Context Protocol (MCP) server that provides seamless integration with Anki through the AnkiConnect add-on. This server enables AI assistants and other MCP clients to interact with your Anki flashcard collection programmatically.

What is Anki Connect?

AnkiConnect is a powerful Anki add-on that exposes Anki's functionality through a REST API. It allows external applications to:

• Create, modify, and delete flashcards
• Manage decks and their configurations
• Control Anki's GUI programmatically
• Search and retrieve card information
• Manage tags and note types
• Perform bulk operations on cards and notes

What is MCP (Model Context Protocol)?

The Model Context Protocol is a standardized way for AI assistants to connect to external data sources and tools. This MCP server acts as a bridge between MCP clients (like Claude Desktop) and AnkiConnect, allowing AI assistants to help you manage your Anki flashcards naturally through conversation.

Features

Every tool comes with a description, a title and MCP annotations (readOnlyHint / destructiveHint), so clients can auto-approve read-only tools and ask before destructive ones. On connect the server also sends instructions for the agent: Anki search syntax, note IDs vs card IDs, and the recommended flow for adding cards.

Errors are reported as tool errors (isError: true): AnkiConnect error: ... when Anki rejects a request, and Could not reach AnkiConnect at <url>... when Anki is not running.

Default tools

• Notes: add_note, add_notes, can_add_notes, update_note_fields, add_tags, remove_tags, find_notes, notes_info
• Cards: find_cards, cards_info, cards_to_notes, suspend, unsuspend, are_suspended, are_due, get_intervals
• Decks: deck_names, deck_names_and_ids, get_decks, change_deck, delete_decks, get_deck_config
• Models: model_names, model_names_and_ids, model_field_names, model_fields_on_templates
• Misc: version, get_tags

find_notes and find_cards return { ids, total, truncated } and accept an optional limit (default 100). cards_info strips the card CSS from the question and answer.

Optional tool groups

Configuration

Upgrading from 1.x

• create_flashcard was removed; use add_note with deckName, modelName and fields.
• GUI tools, multi, upgrade and deck-config editing tools are hidden unless their group is enabled.
• Tool results contain only AnkiConnect's result (no {result, error} envelope); errors come back as tool errors.
• find_notes / find_cards return { ids, total, truncated } instead of a plain array.
• Node.js 20 or newer is required.

Prerequisites

1. Install AnkiConnect Add-on

1. Open Anki
2. Go to Tools → Add-ons
3. Click Get Add-ons...
4. Enter the code: 2055492159
5. Click OK and restart Anki

2. Configure AnkiConnect (Optional)

AnkiConnect works out of the box, but you can customize its settings:

1. Go to Tools → Add-ons
2. Select AnkiConnect and click Config
3. Modify settings if needed (default port is 8765)
4. Restart Anki after making changes

Installation

1. Clone this repository:

git clone https://github.com/spacholski1225/anki-connect-mcp.git
cd anki-connect-mcp

2. Install dependencies:

npm install

3. Build the project:

npm run build

MCP Client Configuration

Claude Desktop

To use this MCP server with Claude Desktop, add the following configuration to your MCP settings file:

Location of MCP configuration file:

• Windows: %APPDATA%\Claude\claude_desktop_config.json
• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Configuration Options:

Option 1: Using Node.js (Local Installation)

{
  "mcpServers": {
    "anki-connect-mcp": {
      "command": "node",
      "args": [
        "dist/index.js"
      ],
      "env": {},
      "disabled": false,
      "alwaysAllow": [
        "deck_names",
        "cards_info",
        "deck_names_and_ids",
        "find_notes"
      ]
    }
  }
}

Option 2: Using npx (NPM Package)

Then configure your MCP client:

{
  "mcpServers": {
    "anki-connect": {
      "command": "npx",
      "args": [
        "@spacholski1225/anki-connect-mcp"
      ],
      "env": {},
      "disabled": false,
      "alwaysAllow": [
        "deck_names",
        "cards_info",
        "deck_names_and_ids",
        "find_notes"
      ]
    }
  }
}

Option 3: Using Docker

{
  "mcpServers": {
    "anki-connect": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "--network=host",
        "-e", "ANKI_CONNECT_URL=http://host.docker.internal:8765",
        "spacholski/anki-connect-mcp:latest"
      ],
      "env": {},
      "disabled": false,
      "alwaysAllow": [
        "deck_names",
        "cards_info",
        "deck_names_and_ids",
        "find_notes"
      ]
    }
  }
}

Docker-Specific AnkiConnect Configuration:

When using the Docker option, you must configure AnkiConnect with specific settings to allow Docker container access:

1. Go to Tools → Add-ons in Anki
2. Select AnkiConnect and click Config
3. Update the configuration with the following settings:

{
    "apiKey": null,
    "apiLogPath": null,
    "ignoreOriginList": [],
    "webBindAddress": "0.0.0.0",
    "webBindPort": 8765,
    "webCorsOriginList": [
        "http://localhost",
        "http://host.docker.internal",
        "http://host.docker.internal:3000"
    ]
}

Key Docker Configuration Points:

• webBindAddress: "0.0.0.0" - Allows AnkiConnect to accept connections from any IP address (required for Docker containers)
• webCorsOriginList - Must include "http://host.docker.internal" and related origins to allow cross-origin requests from Docker containers
• Restart Anki after making these configuration changes

Important Notes:

• For Node.js option: Replace the path in args with the actual path to your built index.js file
• For npx option: Uses the published NPM package @spacholski1225/anki-connect-mcp - no local installation required
• For Docker option: Uses the pre-built Docker image spacholski/anki-connect-mcp:latest
• The alwaysAllow array contains tools that won't require confirmation each time
• Make sure Anki is running with AnkiConnect enabled before using the MCP server
• For Docker option, the --network=host flag allows the container to access AnkiConnect on the host machine

Usage Examples

Once configured with an MCP client like Claude Desktop, you can interact with your Anki collection naturally:

• "Create a flashcard about the capital of France in my Geography deck"
• "Show me all my deck names"
• "Find all cards tagged with 'vocabulary'"
• "Suspend all cards in the 'Difficult Words' deck"
• "Open the deck browser in Anki" (needs ANKI_MCP_ENABLE_GUI=1)

Troubleshooting

Common Issues

1. Connection refused: Make sure Anki is running and AnkiConnect is installed
2. Port conflicts: Check if port 8765 is available or configure AnkiConnect to use a different port
3. Permission errors: Ensure the MCP server has proper file system permissions
4. Tool not found: Verify the MCP client configuration and restart the client

Development

npm run typecheck   # type-check sources and tests
npm test            # protocol-level tests against a fake AnkiConnect
npm run build

Contributing

Contributions are welcome! Please feel free to submit issues, feature requests, or pull requests.

License

MIT License

References

• AnkiConnect Documentation
• Model Context Protocol Specification
• MCP SDK Documentation