PluginBench
MCP Server
Maintained
MIT

io.github.arielbk/anki-mcp MCP Server

io.github.arielbk/anki-mcp

AI-powered flashcard tutor that lets you quiz, create, and analyze your Anki collection through natural conversation.

What is the io.github.arielbk/anki-mcp MCP server?

The Anki MCP server bridges your Anki flashcard collection with AI assistants like Claude, enabling natural conversations about your study materials. It provides tools to quiz yourself, create cards, organize decks, and analyze learning patterns through an intuitive interface designed for AI agents.

This server transforms how you interact with Anki by connecting it to Claude and other AI assistants. Instead of manually managing flashcards, you can have natural conversations like "Quiz me on Japanese vocabulary I haven't seen in 3 days" or "Create flashcards about photosynthesis." It supports bulk operations, study analytics, media handling, and powerful search capabilities—all accessible through conversational AI.

How to install io.github.arielbk/anki-mcp

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "anki-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@arielbk/anki-mcp"
      ]
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • Manage Flashcards — Create, update, delete, and search your flashcards. Perfect for content creation, bulk updates, and organization.
  • Study Sessions — Run interactive quiz sessions, manage card scheduling, and track which cards need review.
  • Manage Decks — Create and organize decks, move cards around, and configure deck settings.
  • Get Analytics — Dive into your study statistics, review history, and learning patterns.
  • Manage Models — Customize note types, add fields, modify templates, and style your cards.
  • Anki Operations — Handle sync, media files, imports/exports, and other utility operations.
  • Get Media File — Retrieve media files (images, audio, etc.) from your Anki collection for AI analysis.

Use cases

  • Quiz yourself on specific topics or cards you haven't reviewed recently to prepare for exams
  • Create flashcards from lecture notes, PDFs, or study materials using natural language requests
  • Analyze your study patterns and identify weak areas across your decks to focus review efforts
  • Bulk organize and tag cards across multiple decks for better structure and retrieval
  • Track retention rates and learning progress over time to optimize your study strategy

io.github.arielbk/anki-mcp MCP server FAQ

What is the Anki MCP server?

It's a bridge between your Anki flashcard collection and AI assistants like Claude, letting you quiz yourself, create cards, and analyze learning patterns through natural conversation instead of manual Anki operations.

Is it free?

Yes, the Anki MCP server is open-source under the MIT license. You only need Anki (free) and AnkiConnect (free plugin).

How do I install it in Claude Desktop?

Install globally with `npm install -g @arielbk/anki-mcp`, then add the configuration to your Claude Desktop config file (located at `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS or `%APPDATA%\Claude\claude_desktop_config.json` on Windows) with the provided JSON snippet, then restart Claude.

What do I need to set up?

You need Anki installed, the AnkiConnect plugin (add-on code 2055492159), and Node.js 18+. AnkiConnect must be running for the server to work.

Can I use it with other AI clients?

Yes, it works with any MCP-compatible client including the MCP Inspector, Cline (VS Code extension), and custom MCP clients. It supports stdio and HTTP transports.

Does it support images and audio in cards?

Yes, it has full support for rich media including images and audio files in your flashcards, and can retrieve media files for AI analysis.

README (reference)

Source of truth, from the repository.

🧠 Anki MCP

NPM Package anki-mcp License: MIT <br /> <a href="https://glama.ai/mcp/servers/@arielbk/anki-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@arielbk/anki-mcp/badge" alt="Anki MCP server" /> </a>

Transform your Anki flashcard experience with AI! This MCP (Model Context Protocol) server bridges your Anki flashcard collection with AI assistants like Claude, enabling natural conversations about your study materials.

🚀 What Can You Do?

Imagine having an AI tutor that knows your entire flashcard collection and can:

📚 Interactive Learning

  • "Quiz me on Japanese vocabulary I haven't seen in 3 days"
  • "Test me on challenging cards from my medical deck"
  • "Show me cards I've been struggling with recently"

✨ Smart Content Creation

  • "Create flashcards about photosynthesis with diagrams"
  • "Turn this PDF chapter into spaced repetition cards"
  • "Generate cloze deletion cards from my lecture notes"

🔍 Powerful Analytics

  • "Which topics am I struggling with most?"
  • "Show me my study patterns for the last month"
  • "What's my retention rate for different card types?"

🎯 Bulk Operations

  • "Tag all my chemistry cards with 'exam-prep'"
  • "Move cards with low retention to an intensive review deck"
  • "Find and fix duplicate cards across my decks"

🎯 Features

  • 🎯 Smart Tool Design: Intuitive, high-level tools designed specifically for AI agents
  • 💬 Natural Conversations: Talk to Claude about your flashcards like you would a study buddy
  • ⚡ Lightning Fast: Efficient operations that don't bog down your AI assistant
  • 📦 Bulk Operations: Update thousands of cards at once with simple commands
  • 📊 Study Insights: Deep analytics on your learning progress and patterns
  • 🎨 Rich Media: Full support for images, audio, and other media in your cards
  • 🔍 Powerful Search: Leverage Anki's advanced search syntax through natural language
  • 🔒 Rock Solid: Fully typed TypeScript with comprehensive error handling

🛠 Technical Stack

  • Node.js: Runtime environment (18+ required)
  • TypeScript: Type safety and developer experience
  • MCP SDK: Model Context Protocol implementation
  • yanki-connect: 🙏 Fully-typed, isomorphic AnkiConnect API client
  • tsup: Fast TypeScript bundler
  • PNPM: Efficient package manager

Special thanks to the yanki-connect library for providing the robust AnkiConnect interface that powers this integration!

📋 Prerequisites

1. Install Anki

Download and install Anki if you haven't already.

2. Install AnkiConnect Plugin

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

📋 Version Requirements: This server requires AnkiConnect version 25.2.25.0 or newer (released 2025-02-25) for full compatibility. Most features work with older versions, but we recommend updating for the best experience.

3. Configure AnkiConnect (Optional)

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

  1. Go to Tools → Add-ons
  2. Select AnkiConnect and click Config
  3. Default settings should work fine for most users

🚀 Quick Start

Option 1: Use with Claude Desktop (Recommended)

  1. Install the package

    npm install -g @arielbk/anki-mcp
    
  2. Configure Claude Desktop

    Edit your Claude Desktop configuration file:

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

    Add this configuration:

    {
      "mcpServers": {
        "anki": {
          "command": "anki-mcp",
          "args": []
        }
      }
    }
    
  3. Restart Claude Desktop

  4. Start using it!

    • Make sure Anki is running with AnkiConnect enabled
    • Ask Claude: "Show me my Anki decks" or "Quiz me with 5 cards"

💡 Pro Tip: You can test your setup by asking Claude simple questions like "How many Anki decks do I have?" or "What's in my largest deck?"

Option 2: Development Setup

  1. Clone the repository

    git clone https://github.com/arielbk/anki-mcp.git
    cd anki-mcp
    
  2. Install dependencies

    pnpm install
    
  3. Build the project

    pnpm build
    
  4. Test the server

    # Use the MCP inspector to test functionality
    pnpm inspect
    

Option 3: Use with Other MCP Clients

This server works with any MCP-compatible client. You can also use it with:

  • MCP Inspector: Interactive debugging tool
  • Cline: VS Code extension for AI coding
  • Custom MCP clients: Build your own using the MCP SDK

For stdio transport, run:

node dist/index.js

For localhost HTTP (Streamable HTTP) transport, run:

node dist/index.js --http --host=127.0.0.1 --port=3000
# The MCP endpoint will be at http://127.0.0.1:3000/mcp

Clients that support Streamable HTTP can connect directly. Legacy SSE clients may still work via client-side fallback.

🎮 Usage Examples

Once configured with Claude Desktop, you can have natural conversations like:

📖 Study Sessions

You: "I have a Japanese exam tomorrow. Can you quiz me on Hiragana cards I haven't reviewed in a week?"

Claude: I'll find your Hiragana cards that need review and start a quiz session...

📝 Content Creation

You: "Create flashcards for the major battles of World War II with dates and significance"

Claude: I'll create comprehensive flashcards covering the key WWII battles...

📊 Study Analytics

You: "How am I doing with my medical terminology deck? Show me my weak areas."

Claude: Let me analyze your performance on the medical terminology deck...

🏷️ Organization

You: "Tag all cards about cardiovascular system with 'cardiology' and move them to my MCAT prep deck"

Claude: I'll help you organize those cards...

🔧 Available Tools

The server provides 7 intuitive tools that cover everything you need:

📝 Manage Flashcards

Create, update, delete, and search your flashcards. Perfect for content creation, bulk updates, and organization.

🎯 Study Sessions

Run interactive quiz sessions, manage card scheduling, and track which cards need review.

📚 Manage Decks

Create and organize decks, move cards around, and configure deck settings.

📊 Get Analytics

Dive into your study statistics, review history, and learning patterns.

🎨 Manage Models

Customize note types, add fields, modify templates, and style your cards.

🔧 Anki Operations

Handle sync, media files, imports/exports, and other utility operations.

🖼️ Get Media File

Retrieve media files (images, audio, etc.) from your Anki collection. AI assistants can analyze images directly (though they won't display in the UI).

💡 Pro Tip: Many operations support pagination to prevent overwhelming your context window. Use limit and offset parameters when working with large result sets.

🛠 Development

# Run in development mode with auto-reloading
pnpm dev

# Lint the code
pnpm lint

# Format the code
pnpm format

# Test with MCP inspector
pnpm inspect

🔧 Configuration

AnkiConnect Settings

The server connects to AnkiConnect on localhost:8765 by default. If you've customized your AnkiConnect configuration, you may need to adjust the connection settings.

Important: Make sure Anki is running and AnkiConnect is installed before using the MCP server. The server will fail to connect if AnkiConnect is not accessible.

💡 Note: The underlying yanki-connect library supports auto-launching Anki on macOS, but this feature is not currently exposed in the MCP server configuration. You'll need to start Anki manually.

Claude Desktop Advanced Configuration

For advanced users, you can pass additional parameters:

{
  "mcpServers": {
    "anki": {
      "command": "anki-mcp",
      "args": ["--verbose"],
      "env": {
        "ANKI_CONNECT_HOST": "localhost",
        "ANKI_CONNECT_PORT": "8765"
      }
    }
  }
}

Troubleshooting

Common Issues:

  • "Failed to connect to AnkiConnect": Ensure Anki is running and AnkiConnect plugin is installed
  • "No decks found": Make sure you have at least one deck in Anki
  • Claude doesn't respond: Restart Claude Desktop after configuration changes
  • Permission errors: Check that the global npm install worked correctly with npm list -g @arielbk/anki-mcp

🤝 Contributing

We welcome contributions! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

📜 License

MIT - see LICENSE file for details.

🙏 Acknowledgments


Transform your flashcard experience with AI-powered conversations! 🚀

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