Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Read WaniKani SRS data: profile, reviews, assignments, subjects, and level progressions.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
WANIKANI_API_KEYValues 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.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account jbeshir, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: WANIKANI_API_KEY
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).
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 13 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, ChargingNear.me
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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.
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.
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.
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.
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
| Variable | Required | Default | Description |
|---|---|---|---|
WANIKANI_API_KEY | Yes | -- | Bearer token from wanikani.com/settings/personal_access_tokens |
WANIKANI_API_URL | No | https://api.wanikani.com | Base URL override for the WaniKani API |
{
"mcpServers": { "wanikani": { "command": "/path/to/wanikani-mcp", "env": { "WANIKANI_API_KEY": "your-api-token" } } } }
claude mcp add wanikani -e WANIKANI_API_KEY=your-api-token /path/to/wanikani-mcp
| Tool | Description | Parameters |
|---|---|---|
get_user | Get the authenticated user's profile, including level, subscription, and vacation status | -- |
get_summary | Get available lessons and reviews grouped by hour | -- |
get_assignments | Get SRS assignments tracking progress on subjects through SRS stages | subjectTypes, levels, srsStages, availableBefore, availableAfter, immediatelyAvailableForReview, immediatelyAvailableForLessons, limit |
get_subjects | Get radicals, kanji, and vocabulary with meanings, readings, and mnemonics | types, levels, slugs, ids, limit |
get_review_statistics | Get review accuracy statistics per subject, including correct/incorrect counts and streaks | subjectTypes, subjectIds, percentagesGreaterThan, percentagesLessThan, limit |
get_level_progressions | Get the user's progression history through WaniKani levels with timestamps | limit |
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").