AnkiConnect Server

Headless AnkiConnect-compatible REST API server with AnkiWeb sync support and MCP server integration.

❓ Problem & Solution

Problem: Traditional AnkiConnect requires the Anki desktop app running, works only on localhost, and can't be deployed to servers.

Solution: This headless server provides direct collection access without Anki desktop, supports remote deployment, and includes automatic AnkiWeb sync.

✨ Features

• Server Deployment - Run on VPS, Raspberry Pi, or cloud without GUI
• AI Integration - MCP server for AI assistant access to your cards
• Full AnkiConnect API Compatibility - Version 6 API with all standard actions
• Headless Operation - No Qt/GUI required, perfect for servers and containers
• AnkiWeb Sync - Automatic synchronization with AnkiWeb (optional)
• MCP Server - Model Context Protocol integration for AI assistants

📋 Table of Contents

• Configuration
• Usage
• API Reference
• MCP Server
• Docker

⚙️ Configuration

Set environment variables before running the server:

Variable	Required	Default	Description
ANKI_COLLECTION_PATH	Yes	-	Path to your .anki2 collection file
ANKICONNECT_PORT	No	8765	Server port
ANKICONNECT_BIND	No	127.0.0.1	Bind address (use 0.0.0.0 for external access)
ANKICONNECT_ANKIWEB_USER	No	-	AnkiWeb username (required for sync)
ANKICONNECT_ANKIWEB_PASS	No	-	AnkiWeb password (required for sync)
ANKICONNECT_ANKIWEB_URL	No	-	Custom sync server URL (optional)

Example .env File

# Required: Path to your Anki collection
ANKI_COLLECTION_PATH=/path/to/collection.anki21

# Optional: Server configuration
ANKICONNECT_PORT=8765
ANKICONNECT_BIND=127.0.0.1

# Optional: AnkiWeb sync credentials
ANKICONNECT_ANKIWEB_USER=your@email.com
ANKICONNECT_ANKIWEB_PASS=your_password

# Optional: Custom sync server
ANKIWEB_URL=https://your-sync-server.com

🚀 Usage

Quick Start with uvx (No Installation)

# Run the API server
ANKI_COLLECTION_PATH=/path/to/collection.anki21 \
ANKICONNECT_ANKIWEB_USER=your@email.com \
ANKICONNECT_ANKIWEB_PASS=your_password \
uvx anki-connect-server api

# Run the MCP server
ANKI_COLLECTION_PATH=/path/to/collection.anki21 \
ANKICONNECT_ANKIWEB_USER=your@email.com \
ANKICONNECT_ANKIWEB_PASS=your_password \
uvx anki-connect-server mcp

📚 API Reference

The server exposes a single POST endpoint at /api that accepts AnkiConnect-style JSON requests.

Request Format

{
  "action": "actionName",
  "version": 6,
  "params": {
    "param1": "value1",
    "param2": "value2"
  }
}

Response Format

{
  "result": <action_result>,
  "error": null
}

On error:

{
  "result": null,
  "error": "Error message"
}

Examples

Get Deck Names

curl -X POST http://localhost:8765/api \
  -H "Content-Type: application/json" \
  -d '{"action": "deckNames", "version": 6}'

Create a Deck

curl -X POST http://localhost:8765/api \
  -H "Content-Type: application/json" \
  -d '{"action": "createDeck", "version": 6, "params": {"deck": "My New Deck"}}'

Add a Note

curl -X POST http://localhost:8765/api \
  -H "Content-Type: application/json" \
  -d '{
    "action": "addNote",
    "version": 6,
    "params": {
      "note": {
        "deckName": "Default",
        "modelName": "Basic",
        "fields": {
          "Front": "Hello",
          "Back": "World"
        },
        "tags": ["api"]
      }
    }
  }'

Sync with AnkiWeb

curl -X POST http://localhost:8765/api \
  -H "Content-Type: application/json" \
  -d '{"action": "sync", "version": 6}'

Batch Multiple Actions

curl -X POST http://localhost:8765/api \
  -H "Content-Type: application/json" \
  -d '{
    "action": "multi",
    "version": 6,
    "params": {
      "actions": [
        {"action": "deckNames", "params": {}},
        {"action": "modelNames", "params": {}}
      ]
    }
  }'

Supported Actions

Misc

• version - Get API version
• sync - Sync with AnkiWeb
• syncStatus - Get sync status
• syncMedia - Sync media only
• multi - Execute multiple actions
• importPackage - Import .apkg file
• exportPackage - Export deck to .apkg

Decks

• deckNames - Get all deck names
• deckNamesAndIds - Get deck names with IDs
• createDeck - Create a new deck
• deleteDecks - Delete decks
• changeDeck - Move cards to different deck
• getDecks - Get decks for cards
• getDeckConfig - Get deck configuration
• saveDeckConfig - Save deck configuration
• setDeckConfigId - Assign config to decks
• cloneDeckConfigId - Clone deck config
• removeDeckConfigId - Remove deck config

Models

• modelNames - Get all model names
• modelNamesAndIds - Get model names with IDs
• modelFieldNames - Get field names for model
• modelFieldsOnTemplates - Get fields used in templates
• createModel - Create a new note model
• modelTemplates - Get card templates
• modelStyling - Get CSS styling
• updateModelTemplates - Update templates
• updateModelStyling - Update CSS

Notes

• addNote - Add a single note
• addNotes - Add multiple notes
• canAddNotes - Check if notes can be added
• updateNoteFields - Update note fields
• findNotes - Search for notes
• notesInfo - Get note details
• deleteNotes - Delete notes
• addTags - Add tags to notes
• removeTags - Remove tags from notes
• getTags - Get all tags

Cards

• findCards - Search for cards
• cardsToNotes - Get note IDs from card IDs
• cardsInfo - Get card details
• suspend - Suspend cards
• unsuspend - Unsuspend cards
• areSuspended - Check if cards are suspended
• areDue - Check if cards are due
• getIntervals - Get card intervals

Media

• getMediaDirPath - Get media directory path
• storeMediaFile - Store a media file (base64)
• retrieveMediaFile - Retrieve a media file
• deleteMediaFile - Delete a media file

🤖 MCP Server

The server includes a Model Context Protocol (MCP) integration for AI assistants.

Starting the MCP Server

ANKI_COLLECTION_PATH=/path/to/collection.anki21 \
ANKICONNECT_ANKIWEB_USER=your@email.com \
ANKICONNECT_ANKIWEB_PASS=your_password \
uvx anki-connect-server mcp

Available MCP Tools

• get_deck_names - Get all deck names
• get_deck_names_and_ids - Get decks with IDs
• create_deck - Create a new deck
• delete_decks - Delete decks
• get_model_names - Get all model names
• get_model_field_names - Get fields for a model
• add_note - Add a new note
• find_notes - Search for notes
• get_notes_info - Get note details
• delete_notes - Delete notes
• find_cards - Search for cards
• get_cards_info - Get card details
• suspend_cards / unsuspend_cards - Manage card suspension
• are_suspended / are_due - Check card status
• get_card_intervals - Get card intervals
• get_all_tags - Get all tags
• add_tags / remove_tags - Manage tags
• get_media_dir_path - Get media directory
• store_media_file / retrieve_media_file / delete_media_file - Media operations
• change_deck - Move cards between decks
• cards_to_notes - Convert card IDs to note IDs
• get_deck_config - Get deck configuration
• get_model_templates / get_model_styling - Model customization
• get_api_version - Get API version
• import_package / export_package - Import/export decks
• sync / sync_media / get_sync_status - Sync operations

Adding to Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "anki-connect-server": {
      "command": "uvx",
      "args": ["anki-connect-server", "mcp"],
      "env": {
        "ANKI_COLLECTION_PATH": "/path/to/collection.anki21",
        "ANKICONNECT_ANKIWEB_USER": "your@email.com",
        "ANKICONNECT_ANKIWEB_PASS": "your_password"
      }
    }
  }
}

🐳 Docker

Using Pre-built Image

docker run -d \
  -p 8765:8765 \
  -v /path/to/collection.anki21:/data/collection.anki21 \
  -e ANKI_COLLECTION_PATH=/data/collection.anki21 \
  -e ANKICONNECT_ANKIWEB_USER=your@email.com \
  -e ANKICONNECT_ANKIWEB_PASS=your_password \
  --name anki-connect-server \
  glechic/anki-connect-server:latest

Docker Compose

version: '3.8'

services:
  anki-connect-server:
    image: glechic/anki-connect-server:latest
    ports:
      - "8765:8765"
    volumes:
      - ./collection.anki21:/data/collection.anki21
    environment:
      - ANKI_COLLECTION_PATH=/data/collection.anki21
      - ANKICONNECT_ANKIWEB_USER=${ANKIWEB_USER}
      - ANKICONNECT_ANKIWEB_PASS=${ANKIWEB_PASS}
    restart: unless-stopped

Building from Source

docker build -t anki-connect-server .