WaniKani
Surface your WaniKani reviews, assignments, and level progress inside your coding agent so study fits around shipping without opening the dashboard.
Overview
WaniKani MCP is a Grow-phase MCP server that lets coding agents read your WaniKani SRS profile, reviews, assignments, subjects, and level progress.
What is this MCP server?
- Read WaniKani profile, review counts, assignments, subjects, and level progression via API.
- Authenticate with WANIKANI_API_KEY from personal access tokens settings.
- Stdio MCP v1.0.0 MCPB package from jbeshir/mcp-servers wanikani subfolder.
- Lets agents answer “what should I study next?” without scraping the web UI.
- Pairs with builders learning Japanese while shipping side projects or Japan-market ideas.
- Server version 1.0.0
- Transport: stdio
- 1 required secret: WANIKANI_API_KEY
What problem does it solve?
You lose flow when you jump out of the IDE to check WaniKani review counts and assignment queues manually.
Who is it for?
Indie builders on WaniKani who want study awareness and planning next to their agent without building a custom API client.
Skip if: Non-WaniKani learners, or teams that need write access to complete reviews inside the agent (this server is read-oriented per its description).
What do I get? / Deliverables
After install, your agent can report WaniKani progress and queue status on demand using your API token.
- Agent-readable WaniKani profile and progression snapshots
- Review and assignment queue summaries for planning
- Subject-level SRS data pulled through MCP tools
Recommended MCP Servers
Journey fit
SRS upkeep is ongoing personal lifecycle work that compounds alongside product growth habits—not a one-time build integration. Lifecycle covers recurring review queues and progress checks you optimize over months while still building your main product.
How it compares
WaniKani API read bridge via MCP—not a flashcard authoring skill or replacement for the review session UI.
Common Questions / FAQ
Who is WaniKani MCP for?
Solo builders and developers who use WaniKani and want Claude Code or Cursor to read their study progress and queues.
When should I use WaniKani MCP?
Use it during daily grow/lifecycle routines when you plan study blocks, check review load, or reference level progress while working in the repo.
How do I add WaniKani MCP to my agent?
Create a WaniKani personal access token, set WANIKANI_API_KEY in the MCP server env, install wanikani-v1.0.0 MCPB, and enable stdio in your client.