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WaniKani

by jbeshirversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.jbeshir/wanikani-mcp

Install

Overview

Description from the maker (original English)

Read WaniKani SRS data: profile, reviews, assignments, subjects, and level progressions.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: WANIKANI_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: WANIKANI_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

Fill in the empty values before running it.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • WANIKANI_API_KEY secret required env
    WaniKani API token from wanikani.com/settings/personal_access_tokens

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account jbeshir, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18676 servers in this category
  • Published to the registry more recently than 75% of the other 18676 servers in this category
  • Basic checks equal to or better than 100% of the other 18676 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is WaniKani safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: WANIKANI_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 13 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, ChargingNear.me

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

Runs on your computer

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

by desktop-commanderGrowing★ 211Updated 4 days ago

Runs in the cloud✓ desktopcommander.app

ChargingNear.me

U.S. EV charging stations: nearest, on a route, city and state stats, highway gaps and NEVI status.

by chargingnear.meEarlyUpdated today

Runs in the cloud✓ chargingnear.me

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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 (Claude, etc.)"] SRV["MCP Server tool registration + formatting"] CLI["WaniKani API Client auth, pagination, typed responses"] API["WaniKani API 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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