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Pixscii

by rxolveversion 0.5.0i★ –iRuns on your computer
Registry nameio.github.rxolve/pixscii

Install

Overview

Description from the maker (original English)

LLMs can't draw. This MCP can. Pixel art animation toolkit — draw, animate, compose, export.

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: Design, images & audio

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": {
    "pixscii": {
      "command": "npx",
      "args": [
        "-y",
        "pixscii"
      ]
    }
  }
}

Run this in your terminal

claude mcp add pixscii -- npx -y pixscii

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "pixscii": {
      "command": "npx",
      "args": [
        "-y",
        "pixscii"
      ]
    }
  }
}

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": {
    "pixscii": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "pixscii"
      ]
    }
  }
}

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 with the GitHub account rxolve, 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 Design, images & audioi

  • More stars than 0% of the other 2177 servers in this category
  • Published to the registry more recently than 77% of the other 2177 servers in this category
  • Basic checks equal to or better than 100% of the other 2177 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 Pixscii 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 (0.5.0) reached the registry 9 days ago.

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: Figma Context MCP, Claude Real Video, Figma MCP Server

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

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
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.

pixscii

LLMs can't draw. This MCP can. A pixel art animation toolkit for AI agents.

Sister project of artscii. While artscii provides terminal ASCII art, pixscii gives AI agents a full pixel art workbench — generate characters, animate scenes, draw sprites, and export PNGs. Offline, deterministic, zero latency.

One Call Animation

animate_scene {

"width": 128, "height": 48, "background": { "tiles": [["tree","grass","grass","sand","stone","wall","wall","door"]] }, "actors": [ { "seed": "hero", "species": "human", "armor": "plate", "weapon": "sword", "motion": "walk", "from": {"x":0,"y":28}, "to": {"x":96,"y":28} }, { "seed": "mage", "species": "elf", "armor": "cloth", "weapon": "staff", "motion": "walk", "from": {"x":-16,"y":30}, "to": {"x":72,"y":30} }, { "seed": "guard", "species": "skeleton", "motion": "idle", "from": {"x":108,"y":28}, "to": {"x":108,"y":28} } ], "frames": 24, "delay": 150 }

One tool call. 3 characters, tiled background, 24 frames. 9ms.

The LLM translates a scene description into structured input. pixscii executes it instantly.

Quick Start

npx pixscii

Or add to your MCP client config:

{

"mcpServers": { "pixscii": { "command": "npx", "args": ["-y", "pixscii"] } } }

Tools (25)

High-Level — Full scenes in one call
ToolDescription
animate_sceneText description → animated scene with characters, background, and motion
Source — Create or load a canvas
ToolDescription
createNew blank canvas with optional fill color
getLoad a bundled sprite into an editable canvas
characterGenerate a procedural pixel character
convertQuantize any image (URL or base64) to pixel art
searchBrowse the sprite library
creatureEndless symmetric robots, aliens and critters from a mask and a seed, or an asymmetric nebula
beingA 24×24 person, cat or elf as a baby, an adult or old
landscapeGenerate a landscape from a seed: sky by time of day, sun or moon, stars, clouds, mountains, hills, sea, forest, ground, rain
Mutate — Draw on a canvas
ToolDescription
pixelSet individual pixels (batch up to 512)
lineBresenham line between two points
rectRectangle — outline or filled
fillFlood fill from a point (with leak detection)
mirrorMirror left half to right half
shapesDraw geometry as crisp pixel art: rect, circle, ellipse, polygon, line, curve, with dithered fills and gradients
undoRevert the last drawing operation
Observe — Read the canvas state
ToolDescription
inspectView the canvas as a hex character grid
Compose & Output
ToolDescription
sequenceAnimate actors across a scene with per-frame positions
composeLayer multiple canvases/sprites into a scene
tilemapBuild a map from a tile grid
spritesheetStitch frames into a single PNG (horizontal/vertical/grid)
animateAnimate a sprite with pixel motion (idle, walk, attack...)
exportRender a canvas to scaled PNG
Palette — Recolor by mood
ToolDescription
palettesList palettes and their named slots (filter by schema)
repaletteSwitch a canvas to another palette: same schema keeps pixels, others map by slot name or nearest color

Shapes: Write Geometry, Get Pixels

LLMs can't place pixels well, but they write coordinates fine. shapes rasterizes geometry at pixel centers with no anti-aliasing, so every pixel is one palette index. Soft fills come from ordered dithering:

shapes {

"width": 128, "height": 72, "palette": "scene-dusk", "shapes": [ { "type": "rect", "x": 0, "y": 0, "w": 128, "h": 46, "fill": { "gradient": ["sky-top", "sky-mid", "sky-low"] } }, { "type": "circle", "cx": 92, "cy": 40, "r": 9, "fill": "sun" }, { "type": "polygon", "points": [[0,46],[22,26],[40,38],[62,20],[90,42],[128,40],[128,48],[0,48]], "fill": "far" }, { "type": "rect", "x": 0, "y": 46, "w": 128, "h": 26, "fill": { "gradient": ["water", "near"] } }, { "type": "curve", "points": [[34,56],[44,44],[56,56]], "color": "accent" } ] }

Then repalette to scene-sea or scene-night for the same picture in another mood. In code: drawShapes(sprite, shapes, palette).

Landscapes from a Seed

landscape builds a whole scene from a seed in the scene schema, so one seed is one place you can show in any mood:

landscape { "seed": "harbor-town", "preset": "dusk" }

landscape { "seed": "harbor-town", "preset": "dusk", "palette": "scene-night" } landscape { "seed": "pine-ridge", "time": "dawn", "layers": ["sky", "sun", "mountains", "forest", "ground"] }

Presets match the scene palettes: dawn, home, school, night, sea, storm, window, forest, dusk, stars. Layers: sky (dithered gradient), stars, sun or moon (with a halo, and glitter on water), clouds, mountains (midpoint-displacement ridge), hills (value noise), sea (waves), forest (pines and round trees), ground, rain. Default size 128×72. In code: landscape({ seed, preset }).

Creatures and Beings

creature mirrors a mask filled by the seed (body, maybe-body, empty), drops stray pixels, outlines it, lights it from the top and gives it eyes. Kinds: robot, alien, critter, plus nebula (asymmetric noise cloud with caught stars). being draws a person, cat or elf at a life stage from shapes: babies have big heads and no legs, old people white hair and a cane, old elves a staff, old cats a rounder body and a lowered tail.

creature { "seed": "voyager-7", "kind": "robot" }

being { "species": "elf", "stage": "old", "palette": "scene-forest" }

Both use the scene schema, so they sit on a landscape in the same palette.

Three Layers of Control

Layer 1: animate_scene     → full scene in one call (fast path)

Layer 2: sequence/compose → manual frame composition (precise control) Layer 3: pixel/line/rect → individual pixel editing (full control)

Start with animate_scene for a fast draft. Drop to lower layers to refine.

Example: One-Call Scene Animation

→ animate_scene {

width: 80, height: 40, background: { tiles: [["grass","grass","stone","wall","door","wall"]] }, actors: [{ seed: "hero-girl", species: "human", armor: "cloth", motion: "walk", from: {x:0, y:24}, to: {x:60, y:24} }], frames: 16, delay: 120 } ← 16 frame PNGs + frame_ids

→ spritesheet { frames: [frame_ids], direction: "horizontal" } ← single strip PNG with all 16 frames

Two calls: one to generate, one to assemble. Done.

Example: Drawing a Sprite from Scratch

→ create  { width: 16, height: 16, fill: "." }

← canvas_id + hex grid

→ rect { canvas_id, x: 3, y: 5, w: 10, h: 9, color: "1" } → fill { canvas_id, x: 7, y: 7, color: "8" } ← filled: 56 pixels, leaked: false (grid returned — agent verifies)

→ inspect { canvas_id } ← agent reads grid, spots issue, fixes with pixel tool

→ export { canvas_id, scale: 4 } ← 64x64 PNG

The Hex Grid Protocol

Every pixel is one character. The agent reads and writes in the same alphabet:

0-F = PICO-8 palette colors (0=black, 7=white, 8=red, ...)

. = transparent

0123456789ABCDEF 0: ................ 1: .....111111..... 2: .....177771..... 3: .....177771..... 4: ...1111111111... 5: ...1888888881... 6: ...1788888881...

~80 tokens for a full 16x16 sprite. The LLM reads this like source code and reasons about it spatially.

Bundled Assets

22 sprites across 4 categories:

  • Items: sword, shield, potion, key, bow, coin
  • Tiles: grass, stone, water, wall, door, tree, sand, dirt
  • Effects: slash, sparkle, explosion, heal
  • UI: heart-full, heart-empty, arrow-up, cursor

648 procedural characters: 4 species (human, elf, dwarf, skeleton) x 3 armors x 3 weapons x 3 helms x 6 skin tones.

13 palettes: pico8 (default), grayscale, gameboy, and 10 scene moods (scene-dawn, home, school, night, sea, storm, window, forest, dusk, stars)

The scene palettes share one schema: the same 16 named slots (ink, sky-top, sky-mid, sky-low, sun, cloud, far, mid, near, ground, water, foam, accent, skin, cloth, light). Draw once with those slots, then render with any scene palette to get the same picture in another mood. In code: SCENE.ground, slotIndex(palette, 'water'), remapPalette(sprite, from, to).

6 motion types: idle, walk, attack, hurt, bounce, blink

CLI

npx pixscii import sprite.png --id my-sword --category items

npx pixscii export sword --scale 4 --out sword.png

Use in the Browser: pixscii/core

Everything that draws, composes and renders also runs without Node. pixscii/core has no Node built-ins, no sharp and no MCP:

import { createEmpty, drawRect, registerPalette, getPalette, renderToRGBA } from 'pixscii/core';

registerPalette({ id: 'dusk', name: 'Dusk', colors: [ { index: 0, hex: '#1A1016', name: 'sky' }, { index: 1, hex: '#E88FB0', name: 'sun' }, { index: 2, hex: '#3A2433', name: 'ground' }, ], });

let scene = createEmpty(32, 18, 0); scene = drawRect(scene, 13, 4, 6, 6, 1, true); scene = drawRect(scene, 0, 12, 32, 6, 2, true);

const { width, height, data } = renderToRGBA(scene, getPalette('dusk'), 8); canvas.getContext('2d')!.putImageData(new ImageData(new Uint8ClampedArray(data), width, height), 0, 0);

Bundled sprites, palettes and characters load through an asset source. In Node the MCP server and CLI use the files in sprites/. Elsewhere, pass anything that can read those files:

import { setAssetSource, loadPalettes } from 'pixscii/core';

setAssetSource({ readJSON: (file) => fetch(/pixscii/sprites/${file}).then((r) => r.json()), list: async (dir) => (dir === 'palettes' ? ['pico8.json', 'gameboy.json', 'grayscale.json'] : []), }); await loadPalettes();

Development

npm install

npm run dev # Start MCP server (stdio) npm run build # Compile TypeScript npm test # Run tests

src/core/ pure TypeScript, runs anywhere (exported as pixscii/core) src/node/ sprites/ on disk, PNG encode and image import (sharp), CLI src/mcp/ MCP server and tools

src/core/boundary.test.ts fails if anything in core imports a Node built-in, sharp, MCP or a file outside core.

See ROADMAP.md for where pixscii is going: shapes, procedural landscapes and creatures.

License

MIT

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