WaniKani
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Integrates WaniKani learning progress and data with AI assistants, enabling personalized study strategies and real-time updates through natural conversation.
About
This production-ready MCP (Model Context Protocol) server bridges AI assistants, such as Claude Code, with your WaniKani learning data. It allows you to access real-time progress updates, identify challenging items (leeches), and manage your Japanese learning workflow seamlessly through natural language interactions. By providing AI assistants with direct access to your WaniKani account, the server enables personalized study strategies and more effective learning management, ensuring your data is always fresh with automatic background synchronization.
Key Features
- Leech detection for identifying consistently difficult items
- Automatic background synchronization of WaniKani data
- Secure multi-user support with per-user authentication
- Provides API access to user progress, review forecasts, and item database
- 0 GitHub stars
- Real-time progress updates (current level, lesson count, review count)
Use Cases
- Manage Japanese learning workflow through natural language with an AI assistant
- Receive personalized study strategy recommendations from an AI assistant
- Identify and focus on challenging WaniKani items (leeches) for targeted practice
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