K2 Study Decks & Algorithm MCP Server

by k2kanji Your server? Claim it

answering

K2 Study Decks & Algorithm is answering right now. Last checked 6 min ago. It exposes 7 tools.

Study decks for 8 languages plus the K2 spaced-repetition engine, runnable on your items.

Uptime history 12 days of history

12 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

544 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 2

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 26 October 2026. No other catalogue keeps this.

26 Oct a tool description was rewritten get_cube_algorithms

26 Oct a tool changed the parameters it asks for get_cube_algorithms

Nothing serious here today

Today is the operative word: we check K2 Study Decks & Algorithm every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add study --transport http https://k2kanji.com/api/mcp

Settings → Connectors → Add custom connector, then paste this address

https://k2kanji.com/api/mcp

~/.codex/config.toml

[mcp_servers.study]
url = "https://k2kanji.com/api/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "study": {
      "url": "https://k2kanji.com/api/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "study": {
      "type": "http",
      "url": "https://k2kanji.com/api/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

cube

get_cube_algorithms

Rubik's cube last-layer algorithm sets used by the K2 cube trainer: full OLL (57 cases), full PLL (21), the two-look beginner subsets, full ZBLL, and Roux CMLL (42 cases plus a two-look subset; CMLL algorithms only need to solve the corners and keep both 1x2x3 blocks). Each case returns its primary algorithm plus alternates, with sources and finger-trick notes where recorded. Every algorithm in these sets is verified against a cube simulator by the repo's audit script (app/cube/scripts/audit-algorithms.mjs), run before data changes land. Filter by `case_id` or `group`; omit both for the set's structure and levels.

deck

search_deck

Search one deck. `query` substring-matches the term, its reading/pronunciation, its English meanings, and its category, so "bone" finds entries glossed as bone and "ㄱ" finds that jamo. Narrow with `category` (exact, from list_decks) or `difficulty` (1-5; for the kanji deck this is the school grade). Paginated via `offset`.

decks

list_decks

The catalog of K2 study decks: eight curated datasets spanning Japanese kanji and vocabulary, HSK Chinese, Korean Hangul, Spanish, French, classical Latin and medical Latin. Returns each deck id (the value other tools take), what it teaches, how many entries it has, and what its fields mean. Call this before search_deck.

entry

get_entry

One deck entry in full, matched on the exact term (the kanji, hanzi, jamo, or word itself). Case-insensitive. Returns every field the deck carries, including the deck-specific extras: stroke counts and JLPT level for kanji, component kanji for compounds, declension and English derivatives for Latin, IPA and pronunciation audio for French.

explain

explain_k2_algorithm

The K2 spaced-repetition engine, described. K2 stores no review dates: each item holds a probability p that halves on a correct answer and doubles on a wrong one, and items are drawn by Monte Carlo rejection sampling, so the pool self-organizes around current weaknesses and expands when it cools. Returns the update rule (including the deliberate hinted-answer exception), the selection and pool-expansion mechanics, the live tuning constants, and notes for porting it. Read this before simulate_k2_session.

simulate

simulate_k2_session

Run the real K2 engine over your own items. Give it a list of terms (any strings — your flashcards, cube cases, anything), a study mode, and a sequence of answers, and it returns the p-value trajectory per answer, which items are now mastered, when the pool expanded, and the probability distribution over what K2 would serve next. Use this to drive your own drilling with K2 as the scheduler instead of reimplementing it.

site

get_site_info

What K2 is, which apps it runs, what this server does and does not expose, and every machine-readable surface. Also returns the full capability map — every tool, prompt, and resource — so a client with a stale or tools-only roster can still see the whole surface.

Endpoints

URL	Transport	State	Latency	Checked
https://k2kanji.com/api/mcp	streamable-http	answering	513 ms	6 min ago

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K2 Study Decks & Algorithm — questions

Answers built from our own checks of this server.

What can K2 Study Decks & Algorithm do?

It exposes 7 tools, read directly from the server on our last check. Among them: explain_k2_algorithm, get_cube_algorithms, get_entry, get_site_info, list_decks, search_deck and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is K2 Study Decks & Algorithm working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 544 ms. The bar chart above shows every period we have measured.

How do I connect K2 Study Decks & Algorithm?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does K2 Study Decks & Algorithm need an API key?

No. K2 Study Decks & Algorithm completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is K2 Study Decks & Algorithm?

It answers our handshake in 544 ms on average, which is faster than 22% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.