anki-mcp-desktop

# Anki MCP Server > **⚠️ IMPORTANT: Project Renamed (v0.8.2+)** > > This project has been renamed and moved: > - **Package**: `anki-mcp-http` → `@ankimcp/anki-mcp-server` > - **Commands**: `anki-mcp-http` → `ankimcp` or `anki-mcp-server` > - **Repository**: `anki-mcp/anki-mcp-desktop` → `ankimcp/anki-mcp-server` > > The old `anki-mcp-http` package continues to be published for backward compatibility but is deprecated. Please migrate to the new package. > > **[Read more about this change →](https://ankimcp.ai/blog/organization-and-naming-update/)** [](https://github.com/ankimcp/anki-mcp-server/actions/workflows/test.yml) [](https://www.npmjs.com/package/@ankimcp/anki-mcp-server) <div align="center"> <img src="./docs/images/ankimcp.png" alt="Anki + MCP Integration" width="600" /> <p><strong>Seamlessly integrate <a href="https://apps.ankiweb.net">Anki</a> with AI assistants through the <a href="https://modelcontextprotocol.io">Model Context Protocol</a></strong></p> </div> **Beta** - This project is in active development. APIs and features may change. A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application. Transform your Anki experience with natural language interaction - like having a private tutor. The AI assistant doesn't just present questions and answers; it can explain concepts, make the learning process more engaging and human-like, provide context, and adapt to your learning style. It can create and edit notes on the fly, turning your study sessions into dynamic conversations. More features coming soon! ## Examples and Tutorials For comprehensive guides, real-world examples, and step-by-step tutorials on using this MCP server with Claude Desktop, visit: **[ankimcp.ai](https://ankimcp.ai)** - Complete documentation with practical examples and use cases ## Available Tools ### Review & Study - `sync` - Sync with AnkiWeb - `get_due_cards` - Get cards for review - `present_card` - Show card for review - `rate_card` - Rate card performance ### Deck Management - `list_decks` - Show available decks - `createDeck` - Create new decks ### Note Management - `addNote` - Create new notes - `findNotes` - Search for notes using Anki query syntax - `notesInfo` - Get detailed information about notes (fields, tags, CSS) - `updateNoteFields` - Update existing note fields (CSS-aware, supports HTML) - `deleteNotes` - Delete notes and their cards ### Media Management - `mediaActions` - Manage media files (audio/images) - `storeMediaFile` - Upload media from base64 data, file paths, or URLs - `retrieveMediaFile` - Download media as base64 - `getMediaFilesNames` - List media files with optional pattern filtering - `deleteMediaFile` - Remove media files **💡 Best Practice for Images:** - ✅ **Use file paths** (e.g., `/Users/you/image.png`) - Fast and efficient - ✅ **Use URLs** (e.g., `https://example.com/image.jpg`) - Direct download - ❌ **Avoid base64** - Extremely slow and token-inefficient Just tell Claude where the image is, and it will handle the upload automatically using the most efficient method. ### Model/Template Management - `modelNames` - List note types - `modelFieldNames` - Get fields for a note type - `modelStyling` - Get CSS styling for a note type ## Prerequisites - [Anki](https://apps.ankiweb.net/) with [AnkiConnect](https://github.com/FooSoft/anki-connect) plugin installed - Node.js 20.19.0+ ## Installation This server works in two modes: - **Local mode (STDIO)** - For Claude Desktop on your computer (recommended for most users) - **Remote mode (HTTP)** - For web-based AI assistants like ChatGPT or Claude.ai ### Option 1: MCPB Bundle (Recommended - Local Mode) The easiest way to install this MCP server for Claude Desktop: 1. Download the latest `.mcpb` bundle from the [Releases](https://github.com/ankimcp/anki-mcp-server/releases) page 2. In Claude Desktop, install the extension: - **Method 1**: Go to Settings → Extensions, then drag and drop the `.mcpb` file - **Method 2**: Go to Settings → Developer → Extensions → Install Extension, then select the `.mcpb` file 3. Configure AnkiConnect URL if needed (defaults to `http://localhost:8765`) 4. Restart Claude Desktop That's it! The bundle includes everything needed to run the server locally. ### Option 2: NPM Package with STDIO (For Other MCP Clients) Want to use Anki with MCP clients like **Cursor IDE**, **Cline**, or **Zed Editor**? Use the npm package with the `--stdio` flag: **Supported Clients:** - [Cursor IDE](https://www.cursor.com/) - AI-powered code editor - [Cline](https://github.com/cline/cline) - VS Code extension for AI assistance - [Zed Editor](https://zed.dev/) - Fast, modern code editor - Other MCP clients that support STDIO transport **Configuration - Choose one method:** **Method 1: Using npx (recommended - no installation needed)** ```json { "mcpServers": { "anki-mcp": { "command": "npx", "args": ["-y", "@ankimcp/anki-mcp-server", "--stdio"], "env": { "ANKI_CONNECT_URL": "http://localhost:8765" } } } } ``` **Method 2: Using global installation** First, install globally: ```bash npm install -g @ankimcp/anki-mcp-server ``` Then configure: ```json { "mcpServers": { "anki-mcp": { "command": "ankimcp", "args": ["--stdio"], "env": { "ANKI_CONNECT_URL": "http://localhost:8765" } } } } ``` **Configuration file locations:** - **Cursor IDE**: `~/.cursor/mcp.json` (macOS/Linux) or `%USERPROFILE%\.cursor\mcp.json` (Windows) - **Cline**: Accessible via settings UI in VS Code - **Zed Editor**: Install as MCP extension through extension marketplace For client-specific features and troubleshooting, consult your MCP client's documentation. ### Option 3: HTTP Mode (For Remote AI Assistants) Want to use Anki with ChatGPT or Claude.ai in your browser? This mode lets you connect web-based AI tools to your local Anki. **How it works (simple explanation):** 1. You run a small server on your computer (where Anki is installed) 2. Use the built-in `--ngrok` flag to automatically create a public tunnel URL 3. Share that URL with ChatGPT or Claude.ai 4. Now the AI can talk to your Anki through the internet! **New in v0.8.0:** Integrated ngrok support with the `--ngrok` flag - no need to run ngrok separately! **Setup - Choose one method:** **Method 1: Using npx (recommended - no installation needed)** ```bash # Quick start npx @ankimcp/anki-mcp-server # With ngrok tunnel (recommended for web-based AI) npx @ankimcp/anki-mcp-server --ngrok # With custom options npx @ankimcp/anki-mcp-server --port 8080 --host 0.0.0.0 npx @ankimcp/anki-mcp-server --anki-connect http://localhost:8765 ``` **Method 2: Using global installation** ```bash # Install once npm install -g @ankimcp/anki-mcp-server # Run the server ankimcp # With ngrok tunnel (recommended for web-based AI) ankimcp --ngrok # With custom options ankimcp --port 8080 --host 0.0.0.0 ankimcp --anki-connect http://localhost:8765 ``` **Method 3: Install from source (for development)** ```bash npm install npm run build npm run start:prod:http ``` **CLI Options:** ```bash ankimcp [options] Options: --stdio Run in STDIO mode (for MCP clients) -p, --port <port> Port to listen on (HTTP mode, default: 3000) -h, --host <host> Host to bind to (HTTP mode, default: 127.0.0.1) -a, --anki-connect <url> AnkiConnect URL (default: http://localhost:8765) --ngrok Start ngrok tunnel (requires global ngrok installation) --help Show help message Usage with npx (no installation needed): npx @ankimcp/anki-mcp-server # HTTP mode npx @ankimcp/anki-mcp-server --port 8080 # Custom port npx @ankimcp/anki-mcp-server --stdio # STDIO mode npx @ankimcp/anki-mcp-server --ngrok # HTTP mode with ngrok tunnel Usage with global installation: npm install -g @ankimcp/anki-mcp-server # Install once ankimcp # HTTP mode ankimcp --port 8080 # Custom port ankimcp --stdio # STDIO mode ankimcp --ngrok # HTTP mode with ngrok tunnel ``` **Using with ngrok:** **Method 1: Integrated (Recommended - One Command)** ```bash # One-time setup (if you haven't already): npm install -g ngrok ngrok config add-authtoken <your-token> # Get token from https://dashboard.ngrok.com # Start server with ngrok tunnel in one command: ankimcp --ngrok # The tunnel URL will be displayed in the startup banner # Example output: # 🌐 Ngrok tunnel: https://abc123.ngrok-free.app ``` **Method 2: Manual (Two Terminals)** ```bash # Terminal 1: Start the server ankimcp # Terminal 2: Create tunnel ngrok http 3000 # Copy the ngrok URL (looks like: https://abc123.ngrok-free.app) # Share this URL with your AI assistant ``` **Benefits of `--ngrok` flag:** - ✅ One command instead of two terminals - ✅ Automatic cleanup when you press Ctrl+C - ✅ URL displayed directly in the startup banner - ✅ Works with custom ports: `ankimcp --port 8080 --ngrok` **Security note:** Anyone with your ngrok URL can access your Anki, so keep that URL private! ### Option 4: Manual Installation from Source (Local Mode) For development or advanced usage: ```bash npm install npm run build ``` ## Connect to Claude Desktop (Local Mode) You can configure the server in Claude Desktop by either: - Going to: Settings → Developer → Edit Config - Or manually editing the config file ### Configuration Add the following to your Claude Desktop config: ```json { "mcpServers": { "anki-mcp": { "command": "node", "args": ["/path/to/anki-mcp-server/dist/main-stdio.js"], "env": { "ANKI_CONNECT_URL": "http://localhost:8765" } } } } ``` Replace `/path/to/anki-mcp-server` with your actual project path. ### Config File Locations - **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` - **Linux**: `~/.config/Claude/claude_desktop_config.json` For more details, see the [official MCP documentation](https://modelcontextprotocol.io/docs/develop/connect-local-servers). ## Environment Variables (Optional) | Variable | Description | Default | |----------|-------------|---------| | `ANKI_CONNECT_URL` | AnkiConnect URL | `http://localhost:8765` | | `ANKI_CONNECT_API_VERSION` | API version | `6` | | `ANKI_CONNECT_API_KEY` | API key if configured in AnkiConnect | - | | `ANKI_CONNECT_TIMEOUT` | Request timeout in ms | `5000` | ## Usage Examples ### Searching and Updating Notes ``` # Search for notes in a specific deck findNotes(query: "deck:Spanish") # Get detailed information about notes notesInfo(notes: [1234567890, 1234567891]) # Update a note's fields (HTML content supported) updateNoteFields(note: { id: 1234567890, fields: { "Front": "<b>¿Cómo estás?</b>", "Back": "How are you?" } }) # Delete notes (requires confirmation) deleteNotes(notes: [1234567890], confirmDeletion: true) ``` ### Anki Query Syntax Examples The `findNotes` tool supports Anki's powerful query syntax: - `"deck:DeckName"` - All notes in a specific deck - `"tag:important"` - Notes with the "important" tag - `"is:due"` - Cards that are due for review - `"is:new"` - New cards that haven't been studied - `"added:7"` - Notes added in the last 7 days - `"front:hello"` - Notes with "hello" in the front field - `"flag:1"` - Notes with red flag - `"prop:due<=2"` - Cards due within 2 days - `"deck:Spanish tag:verb"` - Spanish deck notes with verb tag (AND) - `"deck:Spanish OR deck:French"` - Notes from either deck ### Important Notes #### CSS and HTML Handling - The `notesInfo` tool returns CSS styling information for proper rendering awareness - The `updateNoteFields` tool supports HTML content in fields and preserves CSS styling - Each note model has its own CSS styling - use `modelStyling` to get model-specific CSS #### Update Warning ⚠️ **IMPORTANT**: When using `updateNoteFields`, do NOT view the note in Anki's browser while updating, or the fields will not update properly. Close the browser or switch to a different note before updating. See [Known Issues](#known-issues) for more details. #### Deletion Safety The `deleteNotes` tool requires explicit confirmation (`confirmDeletion: true`) to prevent accidental deletions. Deleting a note removes ALL associated cards permanently. ## Known Issues For a comprehensive list of known issues and limitations, please visit our documentation: **[Known Issues Documentation](https://ankimcp.ai/docs/known-issues/)** ### Critical Limitations #### Note Updates Fail When Viewed in Browser ⚠️ **IMPORTANT**: When updating notes using `updateNoteFields`, the update will silently fail if the note is currently being viewed in Anki's browser window. This is an upstream AnkiConnect limitation. **Workaround**: Always close the browser or navigate to a different note before updating. For more details and other known issues, see the [full documentation](https://ankimcp.ai/docs/known-issues/). ## Troubleshooting ### ERR_REQUIRE_ESM Error If you see an error like: ``` Error [ERR_REQUIRE_ESM]: require() of ES Module not supported ``` This means your Node.js version is too old. The server requires **Node.js 20.19.0 or later**. **Check your version:** ```bash node --version ``` **Solution:** Update Node.js to version 20.19.0 or later. You can download it from [nodejs.org](https://nodejs.org/) or use a version manager like [nvm](https://github.com/nvm-sh/nvm). ## Development ### Transport Modes This server supports two MCP transport modes via **separate entry points**: #### STDIO Mode (Default) - For local MCP clients like Claude Desktop - Uses standard input/output for communication - **Entry point**: `dist/main-stdio.js` - **Run**: `npm run start:prod:stdio` or `node dist/main-stdio.js` - **MCPB bundle**: Uses STDIO mode #### HTTP Mode (Streamable HTTP) - For remote MCP clients and web-based integrations - Uses MCP Streamable HTTP protocol - **Entry point**: `dist/main-http.js` - **Run**: `npm run start:prod:http` or `node dist/main-http.js` - **Default port**: 3000 (configurable via `PORT` env var) - **Default host**: `127.0.0.1` (configurable via `HOST` env var) - **MCP endpoint**: `http://127.0.0.1:3000/` (root path) #### Building ```bash npm run build # Builds once, creates dist/ with both entry points ``` Both `main-stdio.js` and `main-http.js` are in the same `dist/` directory. Choose which to run based on your needs. #### HTTP Mode Configuration **Environment Variables:** - `PORT` - HTTP server port (default: 3000) - `HOST` - Bind address (default: 127.0.0.1 for localhost-only) - `ALLOWED_ORIGINS` - Comma-separated list of allowed origins for CORS (default: localhost) - `LOG_LEVEL` - Logging level (default: info) **Security:** - Origin header validation (prevents DNS rebinding attacks) - Binds to localhost (127.0.0.1) by default - No authentication in current version (OAuth support planned) **Example: Running Modes** ```bash # Development - STDIO mode (watch mode with auto-rebuild) npm run start:dev:stdio # Development - HTTP mode (watch mode with auto-rebuild) npm run start:dev:http # Production - STDIO mode npm run start:prod:stdio # or node dist/main-stdio.js # Production - HTTP mode npm run start:prod:http # or PORT=8080 HOST=0.0.0.0 node dist/main-http.js ``` ### Building an MCPB Bundle To create a distributable MCPB bundle: ```bash npm run mcpb:bundle ``` This command will: 1. Sync version from `package.json` to `manifest.json` 2. Remove old `.mcpb` files 3. Build the TypeScript project 4. Package `dist/` and `node_modules/` into an `.mcpb` file 5. Run `mcpb clean` to remove devDependencies (optimizes bundle from ~47MB to ~10MB) The output file will be named `anki-mcp-server-X.X.X.mcpb` and can be distributed for one-click installation. #### What Gets Bundled The MCPB package includes: - Compiled JavaScript (`dist/` directory - includes both entry points) - Production dependencies only (`node_modules/` - devDependencies removed by `mcpb clean`) - Package metadata (`package.json`) - Manifest configuration (`manifest.json` - configured to use `main-stdio.js`) - Icon (`icon.png`) Source files, tests, and development configs are automatically excluded via `.mcpbignore`. ### Logging in Claude Desktop When running as an MCPB extension in Claude Desktop, logs are written to: **Log Location**: `~/Library/Logs/Claude/` (macOS) The logs are split across multiple files: - **main.log** - General Claude Desktop application logs - **mcp-server-Anki MCP Server.log** - MCP protocol messages for this extension - **mcp.log** - Combined MCP logs from all servers **Note**: The pino logger output (INFO, ERROR, WARN messages from the server code) goes to stderr and appears in the MCP-specific log files. Claude Desktop determines which log file receives which messages, but generally: - Application startup and MCP protocol communication → MCP-specific log - Server internal logging (pino) → Both MCP-specific log and sometimes main.log To view logs in real-time: ```bash tail -f ~/Library/Logs/Claude/mcp-server-Anki\ MCP\ Server.log ``` ### Debugging the MCP Server You can debug the MCP server using the MCP Inspector and attaching a debugger from your IDE (WebStorm, VS Code, etc.). **Note for HTTP Mode:** When testing HTTP mode (Streamable HTTP) with MCP Inspector, use "Connection Type: Via Proxy" to avoid CORS errors. #### Step 1: Configure Debug Server in MCP Inspector The `mcp-inspector-config.json` already includes a debug server configuration: ```json { "mcpServers": { "stdio-server-debug": { "type": "stdio", "command": "node", "args": ["--inspect-brk=9229", "dist/main-stdio.js"], "env": { "MCP_SERVER_NAME": "anki-mcp-stdio-debug", "MCP_SERVER_VERSION": "1.0.0", "LOG_LEVEL": "debug" }, "note": "Anki MCP server with debugging enabled on port 9229" } } } ``` #### Step 2: Start the Debug Server Run the MCP Inspector with the debug server: ```bash npm run inspector:debug ``` This will start the server with Node.js debugging enabled on port 9229 and pause execution at the first line. #### Step 3: Attach Debugger from Your IDE ##### WebStorm 1. Go to **Run → Edit Configurations** 2. Add a new **Attach to Node.js/Chrome** configuration 3. Set the port to `9229` 4. Click **Debug** to attach ##### VS Code 1. Open the Debug panel (Ctrl+Shift+D / Cmd+Shift+D) 2. Select **Debug MCP Server (Attach)** configuration 3. Press F5 to attach #### Step 4: Set Breakpoints and Debug Once attached, you can: - Set breakpoints in your TypeScript source files - Step through code execution - Inspect variables and call stack - Use the debug console for evaluating expressions The debugger will work with source maps, allowing you to debug the original TypeScript code rather than the compiled JavaScript. ### Debugging with Claude Desktop You can also debug the MCP server while it runs inside Claude Desktop by enabling the Node.js debugger and attaching your IDE. #### Step 1: Configure Claude Desktop for Debugging Update your Claude Desktop config to enable debugging: **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` **Linux**: `~/.config/Claude/claude_desktop_config.json` ```json { "mcpServers": { "anki-mcp": { "command": "node", "args": [ "--inspect=9229", "<path_to_project>/anki-mcp-server/dist/main-stdio.js" ], "env": { "ANKI_CONNECT_URL": "http://localhost:8765" } } } } ``` **Key change**: Add `--inspect=9229` before the path to `dist/main-stdio.js` **Debug options**: - `--inspect=9229` - Start debugger immediately, doesn't block (recommended) - `--inspect-brk=9229` - Pause execution until debugger attaches (for debugging startup issues) #### Step 2: Restart Claude Desktop After saving the config, restart Claude Desktop. The MCP server will now run with debugging enabled on port 9229. #### Step 3: Attach Debugger from Your IDE ##### WebStorm 1. Go to **Run → Edit Configurations** 2. Click the **+** button and select **Attach to Node.js/Chrome** 3. Configure: - **Name**: `Attach to Anki MCP (Claude Desktop)` - **Host**: `localhost` - **Port**: `9229` - **Attach to**: `Node.js < 8` or `Chrome or Node.js > 6.3` (depending on WebStorm version) 4. Click **OK** 5. Click **Debug** (Shift+F9) to attach ##### VS Code 1. Add to `.vscode/launch.json`: ```json { "version": "0.2.0", "configurations": [ { "type": "node", "request": "attach", "name": "Attach to Anki MCP (Claude Desktop)", "port": 9229, "skipFiles": ["<node_internals>/**"], "sourceMaps": true, "outFiles": ["${workspaceFolder}/dist/**/*.js"] } ] } ``` 2. Open the Debug panel (Ctrl+Shift+D / Cmd+Shift+D) 3. Select **Attach to Anki MCP (Claude Desktop)** 4. Press F5 to attach #### Step 4: Debug in Real-Time Once attached, you can: - Set breakpoints in your TypeScript source files (e.g., `src/mcp/primitives/essential/tools/create-model.tool.ts`) - Use Claude Desktop normally - breakpoints will hit when tools are invoked - Step through code execution - Inspect variables and call stack - Use the debug console **Example**: Set a breakpoint in `create-model.tool.ts` at line 119, then ask Claude to create a new model. The debugger will pause at your breakpoint! **Note**: The debugger stays attached as long as Claude Desktop is running. You can detach/reattach anytime without restarting Claude Desktop. ### Build Commands ```bash npm run build # Build the project (compile TypeScript to JavaScript) npm run start:dev:stdio # STDIO mode with watch (auto-rebuild) npm run start:dev:http # HTTP mode with watch (auto-rebuild) npm run type-check # Run TypeScript type checking npm run lint # Run ESLint npm run mcpb:bundle # Sync version, clean, build, and create MCPB bundle ``` ### NPM Package Testing (Local) Test the npm package locally before publishing: ```bash # 1. Create local package npm run pack:local # Builds and creates @ankimcp/anki-mcp-server-*.tgz # 2. Install globally from local package npm run install:local # Installs from ./@ankimcp/anki-mcp-server-*.tgz # 3. Test the command ankimcp # Runs HTTP server on port 3000 # 4. Uninstall when done testing npm run uninstall:local # Removes global installation ``` **How it works:** - `npm pack` creates a `.tgz` file identical to what npm publish would create - Installing from `.tgz` simulates what users get from `npm install -g ankimcp` - This lets you test the full user experience before publishing to npm ### Testing Commands ```bash npm test # Run all tests npm run test:unit # Run unit tests only npm run test:tools # Run tool-specific tests npm run test:workflows # Run workflow integration tests npm run test:e2e # Run end-to-end tests npm run test:cov # Run tests with coverage report npm run test:watch # Run tests in watch mode npm run test:debug # Run tests with debugger npm run test:ci # Run tests for CI (silent, with coverage) ``` ### Test Coverage The project maintains 70% minimum coverage thresholds for: - Branches - Functions - Lines - Statements Coverage reports are generated in the `coverage/` directory. ## Versioning This project follows [Semantic Versioning](https://semver.org/) with a pre-1.0 development approach: - **0.x.x** - Beta/Development versions (current phase) - **0.1.x** - Bug fixes and patches - **0.2.0+** - New features or minor improvements - **Breaking changes** are acceptable in 0.x versions - **1.0.0** - First stable release - Will be released when the API is stable and tested - Breaking changes will require major version bumps (2.0.0, etc.) **Current Status**: `0.8.0` - Active beta development. New features include integrated ngrok tunneling (`--ngrok` flag), the `twenty_rules` prompt for evidence-based flashcard creation, media file management, and improved prompt system. APIs may change based on feedback and testing. ## Similar Projects If you're exploring Anki MCP integrations, here are other projects in this space: ### [scorzeth/anki-mcp-server](https://github.com/scorzeth/anki-mcp-server) - **Status**: Appears to be abandoned (no recent updates) - Early implementation of Anki MCP integration ### [nailuoGG/anki-mcp-server](https://github.com/nailuoGG/anki-mcp-server) - **Approach**: Lightweight, single-file implementation - **Architecture**: Procedural code structure with all tools in one file - **Good for**: Simple use cases, minimal dependencies **Why this project differs:** - **Enterprise-grade architecture**: Built on NestJS with dependency injection - **Modular design**: Each tool is a separate class with clear separation of concerns - **Maintainability**: Easy to extend with new features without touching existing code - **Testing**: Comprehensive test suite with 70% coverage requirement - **Type safety**: Strict TypeScript with Zod validation - **Error handling**: Robust error handling with helpful user feedback - **Production-ready**: Proper logging, progress reporting, and MCPB bundle support - **Scalability**: Can easily grow from basic tools to complex workflows **Use case**: If you need a solid foundation for building advanced Anki integrations or plan to extend functionality significantly, this project's architectural approach makes it easier to maintain and scale over time. ## Useful Links - [Model Context Protocol Documentation](https://modelcontextprotocol.io/docs) - [AnkiConnect API Documentation](https://git.sr.ht/~foosoft/anki-connect) - [Claude Desktop Download](https://claude.ai/download) - [Building Desktop Extensions (Anthropic Blog)](https://www.anthropic.com/engineering/desktop-extensions) - [MCP Servers Repository](https://github.com/modelcontextprotocol/servers) - [NestJS Documentation](https://docs.nestjs.com) - [Anki Official Website](https://apps.ankiweb.net/) ## License & Attribution This project is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later). ### Why AGPL-3.0? This license was chosen to maintain compatibility with Anki's AGPL-3.0 license for potential future integration scenarios. **What this means:** - **Personal use**: Use the software freely - **Running as a service for others**: You must provide source code access (AGPL Section 13) - **Modifying and distributing**: Share your improvements under AGPL-3.0-or-later For complete license terms, see the [LICENSE](LICENSE) file. ### Third-Party Attributions - **Anki®** is a registered trademark of Ankitects Pty Ltd. This project is an unofficial third-party tool and is not affiliated with, endorsed by, or sponsored by Ankitects Pty Ltd. The Anki logo is used under the alternative license for referencing Anki with a link to [https://apps.ankiweb.net](https://apps.ankiweb.net). For the official Anki application, visit [https://apps.ankiweb.net](https://apps.ankiweb.net). - **Model Context Protocol (MCP)** is an open standard by Anthropic. The MCP logo is from the official [MCP documentation repository](https://github.com/modelcontextprotocol/docs) and is used under the MIT License. For more information about MCP, visit [https://modelcontextprotocol.io](https://modelcontextprotocol.io). - This is an independent project that bridges Anki and MCP technologies. All trademarks, service marks, trade names, product names, and logos are the property of their respective owners.