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🎨 Pixel Art MCP

An MCP server that turns text prompts into cozy pixel-art PNGs β€” using a free, no-API-key image backend β€” and saves them straight into your project.

Point Claude (or any MCP client) at this server and ask for "a cozy library interior, side view, warm afternoon light"; it generates the image, crushes it down into authentic, palette-limited pixel art, and writes the PNG to disk. Built originally to make scene art for a pixel study-game, but useful for any game/app that needs quick, consistent pixel assets.


✨ Features

  • Text β†’ pixel art in one call, saved as a ready-to-use PNG.

  • Free by default β€” uses Pollinations (no API key, no signup).

  • Real pixel-art post-processing β€” the model output is downscaled to a true pixel grid (nearest-neighbor) and palette-quantized, so it looks like pixel art, not just a blurry "pixel-ish" render.

  • Pluggable backends β€” swap to Hugging Face (free token) or a local Stable Diffusion endpoint by changing one function / env var.

  • Project-agnostic output β€” relative paths resolve against PIXEL_OUT_DIR, so the same server serves any project.

  • Two tools: generate from a prompt, or pixelate an image you already have.

  • Tiny & hackable β€” one server.py, ~200 lines, easy to extend.

Related MCP server: Image Generator MCP Server

🧠 How it works

MCP servers expose tools to an LLM. This one talks to the client (e.g. Claude Code) over stdio using JSON-RPC; the client launches it, lists its tools, and calls them when the model decides to.

prompt ──▢ style preamble ──▢ free image backend (HTTPS)
                                     β”‚  raw image bytes
                                     β–Ό
                            Pillow: resize to WxH (NEAREST)
                                     β”‚
                            quantize to N colors (median cut)
                                     β–Ό
                            save PNG ──▢ PIXEL_OUT_DIR/<out_path>

The "make it look like real pixel art" step is the downscale + palette quantize, not the model β€” that's the part worth keeping no matter which backend you use.

πŸ“¦ Requirements

  • Python 3.10+

  • Outbound HTTPS at generation time (to the chosen backend)

  • An MCP client (e.g. Claude Code)

πŸš€ Install

git clone https://github.com/uncagedspirit/pixel-art-mcp.git
cd pixel-art-mcp

python -m venv .venv
# Windows:
.venv/Scripts/python.exe -m pip install -r requirements.txt
# macOS / Linux:
# .venv/bin/python -m pip install -r requirements.txt

Optionally install it as a package (gives you a pixel-art-mcp command):

.venv/Scripts/python.exe -m pip install .

πŸ”Œ Register with Claude Code

Add an entry to your project's .mcp.json (or your global Claude config).

Windows

{
  "mcpServers": {
    "pixel-art": {
      "command": "C:/path/to/pixel-art-mcp/.venv/Scripts/python.exe",
      "args": ["C:/path/to/pixel-art-mcp/server.py"],
      "env": { "PIXEL_OUT_DIR": "C:/path/to/your/project" }
    }
  }
}

macOS / Linux

{
  "mcpServers": {
    "pixel-art": {
      "command": "/path/to/pixel-art-mcp/.venv/bin/python",
      "args": ["/path/to/pixel-art-mcp/server.py"],
      "env": { "PIXEL_OUT_DIR": "/path/to/your/project" }
    }
  }
}

Then restart Claude Code and approve the pixel-art server. The CLI alternative: claude mcp add pixel-art -- <python> <server.py>.

PIXEL_OUT_DIR sets where generated files land (defaults to the working directory). Set it to the project you want assets written into.

πŸ› οΈ Tools

generate_pixel_art(prompt, out_path, width=160, height=90, colors=32, seed=None)

Generate a pixel-art PNG from a prompt.

Arg

Meaning

prompt

What to draw

out_path

Where to save (relative β†’ under PIXEL_OUT_DIR)

width,height

Pixel-grid size. 160x90 for 16:9 scenes; 32–64 for sprites

colors

Palette size; 16–32 reads as retro

seed

Optional, for reproducible results

pixelate_image(in_path, out_path, width=160, height=90, colors=32)

Pixelate an image you already have into a matching style.

🎚️ Backends

Set PIXEL_BACKEND:

Value

Free?

Setup

pollinations (default)

βœ…

nothing β€” no key

huggingface

free tier

set HF_TOKEN (and optionally HF_MODEL)

To use a local Stable Diffusion (best quality/control, needs a GPU), add a backend function that POSTs to your local endpoint (e.g. AUTOMATIC1111 / ComfyUI / SD.Next) and wire it into _generate_raw. The post-processing stays the same.

πŸ§ͺ Quick test (without an MCP client)

.venv/Scripts/python.exe -c "import server; print(server.make_pixel_art('cozy cafe interior, side view, warm lamps', 'out/cafe.png', 160, 90, 32, 1))"

πŸ—ΊοΈ Roadmap / ideas

  • chroma_key tool β€” generate sprites on a solid background and key it out for transparent characters/props.

  • Sprite-sheet / animation frames (e.g. N-frame idle loops, packed into a strip).

  • Palette locking β€” pass a fixed palette so a whole asset set shares colors.

  • Tileset / tilemap export (Tiled-friendly) for maps.

  • Batch generation from a manifest (one call β†’ a whole scene set).

  • Upscaled preview output alongside the true-resolution PNG.

  • More backends (Replicate, local ComfyUI workflow, Retro Diffusion).

  • Optional background removal / auto-trim for props.

  • Deterministic, seed-pinned regeneration + a small results gallery.

Contributions welcome β€” open an issue or PR.

🀝 Contributing

  1. Fork & branch.

  2. Keep server.py small; put new capabilities behind new @mcp.tool() functions.

  3. Prefer pure helper functions (like make_pixel_art) so logic is testable without the MCP transport.

  4. Update this README's tool list + roadmap.

⚠️ Notes

  • Pollinations is a free community service: it can be slow/rate-limited and you should review its terms for your intended (especially commercial) use.

  • This is a generation/dev tool. It makes network calls when generating; the output is plain local PNGs you commit into your project.

πŸ“„ License

MIT β€” do whatever, just keep the notice.

Install Server
A
license - permissive license
B
quality
C
maintenance

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
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