Kanji Alive
Provides access to the Kanji Alive API through a Model Context Protocol (MCP) server, enabling AI models to search and retrieve detailed information about Japanese kanji.
About
This MCP server extends AI capabilities by acting as a bridge to the Kanji Alive API, allowing models like Claude to query and retrieve comprehensive data on 1,235 kanji taught in Japanese elementary schools. It facilitates sophisticated searches based on various criteria such as meanings, readings, stroke counts, radical information, and grade levels. Users can also access detailed information including example words with translations, dictionary references, and stroke order data, making it a powerful tool for learning and understanding Japanese kanji within an AI environment.
Key Features
- Search and retrieve information for 1,235 elementary school kanji
- Access kanji meanings, readings (Onyomi/Kunyomi), stroke counts, and radical information
- Retrieve example words with translations and stroke order data
- Perform basic searches by kanji character, reading, or meaning
- Conduct advanced searches using multiple filters like stroke count, grade level, and radical position
- 0 GitHub stars
Use Cases
- Finding specific kanji by meaning, reading, or character for quick lookup
- Performing complex searches to identify kanji based on stroke count, grade level, or radical usage
- Retrieving comprehensive details about a particular kanji, including readings, example words, and stroke order
- Enhancing AI models with direct access to structured Japanese kanji data for educational or linguistic applications
