mcpField
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WaniKani

WaniKani

Local
github.com/jbeshirScience & Education1Updated 2d ago

About WaniKani

WaniKani is a read-only MCP server for Japanese learners who want to query their WaniKani SRS data. Six tools cover account progress, review schedules, subject details, and statistics, with automatic pagination for collections.

Key features

  1. 01Query user profile and level
  2. 02View lesson and review schedules
  3. 03Filter SRS assignment progress
  4. 04Read radicals, kanji, and vocabulary
  5. 05Check review statistics and streaks
  6. 06Track level progression history

Use cases

  1. 01Check upcoming lessons and review times
  2. 02Filter items by level or SRS stage
  3. 03Look up readings and meanings for subjects
  4. 04Analyze answer accuracy by subject

MCP support

It provides six read-only tools to MCP clients over stdio for querying WaniKani profiles, lessons and reviews, assignments, subjects, statistics, and level history.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository
Packages
mcpbwanikani-mcp.mcpb

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

wanikani-mcp

An MCP server that provides read-only access to a user's WaniKani data. WaniKani is a spaced repetition system (SRS) for learning Japanese kanji and vocabulary. This server exposes six tools that let Claude and other MCP clients query a user's profile, lesson/review schedule, SRS assignments, subject details, review statistics, and level progression history.

Key Concepts

  • SRS (Spaced Repetition System) -- WaniKani's core learning mechanism. Items progress through stages 0 (initiate) to 9 (burned) based on correct and incorrect reviews. Higher stages mean longer intervals between reviews.
  • Subjects -- The items a user learns. There are four types: radicals (building blocks), kanji (characters), vocabulary (multi-kanji words), and kana vocabulary (kana-only words). Each subject has meanings, readings, and mnemonics.
  • Assignments -- Track a user's SRS progress on each subject: current stage, when it was unlocked, started, passed, and burned.
  • Lessons -- The introduction of new subjects. A subject becomes available as a lesson when its prerequisites are met.
  • Reviews -- Periodic quizzes that test recall. Correct answers advance the SRS stage; incorrect answers regress it.
  • Levels -- A user's overall progress through WaniKani (1--60). Advancing to a new level unlocks new subjects.

Architecture

The server has three layers: an entry point that reads configuration and wires dependencies, an MCP server layer that registers tools and converts parameters, and an HTTP client that communicates with the WaniKani API.

graph TD
    MCP["MCP Client<br/>(Claude, etc.)"]
    SRV["MCP Server<br/>tool registration + formatting"]
    CLI["WaniKani API Client<br/>auth, pagination, typed responses"]
    API["WaniKani API<br/>api.wanikani.com/v2"]

    MCP -->|"stdio JSON-RPC"| SRV
    SRV --> CLI
    CLI -->|"HTTPS + Bearer auth"| API

The server uses mcp-go for MCP protocol handling and stdio transport. The WaniKani API client uses Go generics (Resource[T] and Collection[T]) to provide typed access to all endpoints with automatic pagination.

Data Flow

sequenceDiagram
    participant C as MCP Client
    participant S as MCP Server
    participant A as WaniKani API

    C->>S: get_assignments(subjectTypes, limit, ...)
    S->>A: GET /v2/assignments?subject_types=...
    A-->>S: Page 1 (up to 500 items)

    opt More pages needed
        S->>A: GET next_url
        A-->>S: Page 2
    end

    S-->>C: "Showing N of M assignment(s):" + JSON

Collection endpoints are automatically paginated. Results are capped at a configurable limit (default 500, max 10,000) and include a "Showing N of M" header so the client knows whether results were truncated.

Getting Started

Requirements
Installation

Pre-built binaries are available from Releases.

Install from source:

go install github.com/jbeshir/mcp-servers/wanikani/cmd/wanikani-mcp@latest

Or build from the repo root:

make build
Configuration
VariableRequiredDefaultDescription
WANIKANI_API_KEYYes--Bearer token from wanikani.com/settings/personal_access_tokens
WANIKANI_API_URLNohttps://api.wanikani.comBase URL override for the WaniKani API
Claude Desktop
{
  "mcpServers": {
    "wanikani": {
      "command": "/path/to/wanikani-mcp",
      "env": {
        "WANIKANI_API_KEY": "your-api-token"
      }
    }
  }
}
Claude Code
claude mcp add wanikani -e WANIKANI_API_KEY=your-api-token /path/to/wanikani-mcp

Tools

ToolDescriptionParameters
get_userGet the authenticated user's profile, including level, subscription, and vacation status--
get_summaryGet available lessons and reviews grouped by hour--
get_assignmentsGet SRS assignments tracking progress on subjects through SRS stagessubjectTypes, levels, srsStages, availableBefore, availableAfter, immediatelyAvailableForReview, immediatelyAvailableForLessons, limit
get_subjectsGet radicals, kanji, and vocabulary with meanings, readings, and mnemonicstypes, levels, slugs, ids, limit
get_review_statisticsGet review accuracy statistics per subject, including correct/incorrect counts and streakssubjectTypes, subjectIds, percentagesGreaterThan, percentagesLessThan, limit
get_level_progressionsGet the user's progression history through WaniKani levels with timestampslimit

All tools are read-only. Collection tools accept a limit parameter (default: 500, max: 10,000). Filter parameters that accept multiple values use comma-separated strings (e.g. "radical,kanji").

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