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PopNx MCPMCP servers for people who use AI · explained in plain words

debuff

by debuffjpversion 0.31.0i★ –iRuns on your computer
Registry namejp.debuff/debuff

Install

Overview

Description from the maker (original English)

Let coding agents play, test and tune your 2D web game: live state, explained errors, replays, fuzz.

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

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).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "debuff": {
      "command": "npx",
      "args": [
        "-y",
        "@debuffjp/mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add debuff -- npx -y @debuffjp/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "debuff": {
      "command": "npx",
      "args": [
        "-y",
        "@debuffjp/mcp"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "debuff": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@debuffjp/mcp"
      ]
    }
  }
}

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain debuff.jp (the registry checks domain ownership)

  • … 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 32417 servers in this category
  • Published to the registry more recently than 100% of the other 32417 servers in this category
  • Basic checks equal to or better than 100% of the other 32417 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 debuff 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.31.0) reached the registry today.

Which apps can use it?

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

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, FOGA node

Alternatives

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

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

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated yesterday
Install

FOGA node

by garyyang-finchip

A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.

Computer or cloudUpdated today
Install

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.

@debuffjp/mcp

An MCP server that lets AI agents inspect, build, test and play a debuff game. It uses the same evidence a human would want: real state, real frames, real test results.

Setup

New projects from npm create debuff include a .mcp.json, so MCP clients that read it (such as Claude Code) pick the server up automatically. For other clients:

claude mcp add debuff -- npx -y @debuffjp/mcp        # Claude Code
{

"mcpServers": { "debuff": { "command": "npx", "args": ["-y", "@debuffjp/mcp"] } } }

Run it from the game's folder, or pass --root (or set DEBUFF_ROOT).

As a Claude Code plugin, which also adds a skill that teaches Claude the workflow:

/plugin marketplace add debuffjp/debuff

/plugin install debuff@debuff

As a Codex plugin: codex plugin marketplace add debuffjp/debuff, then codex plugin add debuff@debuff.

For Claude Desktop, mcpb/manifest.json describes a desktop extension that asks for the game folder. Pack it from that folder with npx @anthropic-ai/mcpb pack.

Tools

ToolWhat it does
inspect_projectDependencies, plugins and their contributions, assets, last build size
list_assetsEvery asset with its type, size and importer, plus warnings and possibly unused ids
typecheckType-check with the project's own tsc; no browser needed. Vite doesn't type-check, so run it after edits
buildProduction build plus size report; leaks must be empty
run_testsRun the logic tests in tests/ (keiko): the real game in Node, no browser; failures carry the tick, scene and state
run_scenariosRun scenarios/*.json headless; per-step results, errors, captures
fuzzPlay with random input; each crash, stuck state or back-and-forth loop comes with an explained error and a scenario that replays it
game_startAttach to the live game, or open a private headless copy, paused (see below). Headless takes a viewport: [w, h]; reducedMotion forces it on or off
game_stepAdvance fixed simulation steps (pausing first); returns state (quiet leaves out your inspect() data)
game_pausePause or resume a live game
game_framesRecent frame breakdown: update/render ms, catch-up steps, quads, draw calls, long tasks; summary gives percentiles and the 3 slowest
game_notesMoments the human flagged in the overlay, with the state at that tick
game_rewindLive mode: take the human's game back (or forward) to a tick, paused, with its exact state then
game_replaySave the live session up to a tick (for example a note's) as a scenario in .debuff/replays/ that reproduces it. From 0.31 it holds state checkpoints, so run_scenarios warns at the tick where the replay stops matching
game_inputpress / release keys (and PointerRight / PointerMiddle); tap, pointer_down (with an optional kind: mouse, touch or pen), pointer_move, pointer_up; wheel (dy, dx); touch_down, touch_move, touch_up by contact id
game_stateScene, tick, logical width/height, renderer, frame stats, reducedMotion, your inspect() data
game_commandRun a command the game registered with devTools({ commands }), with JSON args
game_params / game_set_paramRead and tune typed params (validated)
game_captureThe current frame as a PNG image; path also saves it in the project (thumbnails, store art). social: true letterboxes it into 1200×675 for X and Bluesky posts (added in 0.26)
game_clipLive mode: start a rolling recording, save the last 15 s as a video in .debuff/captures/, stop. For devlogs and press kits; the human posts. Added in 0.26
game_errorsRuntime errors, explained: whose problem (your code, a rejected call, a debuff bug), the source line, a hint
game_stopClose the game. From 0.28, a headless game also closes after 15 idle minutes, and a call that takes over 60 s fails with game_hung
report_papercutReport tooling friction in debuff, keiko, myaku, spryte or debuff.jp to papercuts.debuff.jp. Returns close matches instead of filing a duplicate; call again with hit: or force: true. With hit, workaround fills the papercut's workaround when it has none (from 0.24.1). Added in 0.24

Tool calls that fail on setup twice in a week, or run far too long, are reported to papercuts.debuff.jp on their own, and the result says so (see debuff papercuts in the CLI README to turn it off). From 0.24.

Prompts

Workflows clients can offer as slash commands: playtest, fix-errors, tune-feel, add-mechanic, devlog-post (added in 0.26: capture a still and a clip, then draft short posts for the human to send) and explain-stutter.

Live and headless

If you have the game open under debuff dev, game_start attaches to that tab (mode live). The overlay shows an agent badge, and every pause, step and param change the agent makes appears in its activity log, where you can undo it. Type a note in the overlay ("jump feels floaty here") to flag a moment; the agent reads it, along with the game state at that tick, through game_notes. game_stop resumes your game and disconnects.

Otherwise, or with mode: "headless", the agent gets a private copy in a headless browser. Time only advances through game_step, so what it sees is reproducible, and a scenario can replay it exactly.

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