Anki MCP Server

Overview

The Anki MCP Server bridges large language models with the popular spaced‑repetition tool Anki by exposing a rich set of tools and resources through the Model Context Protocol. It allows an AI assistant to programmatically query, create, update, and delete flashcards, decks, and note types directly inside a user’s Anki collection. This eliminates the need for manual copy‑and‑paste workflows and enables dynamic, AI‑driven study material generation.

By integrating with AnkiConnect, the server translates MCP calls into HTTP requests that Anki understands. Developers can therefore embed flashcard creation or retrieval logic in conversational agents, educational chatbots, or automated study planners. For instance, a user could ask an assistant to generate practice questions on a topic and have the system automatically populate those as new notes in a dedicated deck, ready for spaced repetition. This tight coupling empowers personalized learning experiences that adapt to user progress and preferences.

Key capabilities include a comprehensive tool set: listing decks, creating or deleting decks, managing notes of any supported type (Basic, Cloze, custom models), batch operations for high‑volume imports, and full CRUD support on note types. Resources expose static data such as the entire deck list or detailed schemas of all available note types, enabling agents to make informed decisions about where and how to store new content. The server also supports custom AnkiConnect ports, making it flexible for users who run multiple instances or non‑standard configurations.

Real‑world use cases span educational platforms, language learning assistants, and knowledge‑management systems. An instructor could let an assistant auto‑generate quiz decks from lecture slides; a language learner might have new vocabulary cards created on the fly as they chat with an AI tutor. In corporate training, onboarding bots can populate role‑specific decks from internal documentation, ensuring consistent reinforcement of key concepts. Because the server is available as a desktop extension for Claude or a command‑line tool for Cline, it integrates seamlessly into existing AI workflows without additional infrastructure.

The Anki MCP Server stands out for its turnkey integration with both desktop and code‑based AI tools, automatic publishing to the MCP Registry, and robust validation pipeline that keeps schemas in sync across NPM, manifest, and server definitions. These features give developers confidence that the server will remain compatible with future MCP releases while providing a powerful, low‑friction bridge between AI models and Anki’s spaced‑repetition ecosystem.