
ssyubix-pixelart-mcp
io.github.syuaibsyuaibPublished by GitHub account syuaibsyuaibv0.1.1Updated Oct 24, 2026
Draw pixel-art tiles and tilesets for 2D games, with PNG+metadata export for Unity.
Overview
Lets an assistant draw pixel-art tiles and tilesets for 2D games and export them as PNG with JSON metadata for Unity.
- What you can do
- A local Python MCP server with 24 tools for pixel drawing and tileset assembly. It creates and edits canvases with primitives such as set pixel, line, rectangle, circle, polygon and flood fill, manages canvases, generates or extracts color palettes, and suggests tile sizes and tilemap layouts. Tileset tools create a grid sheet, place tiles into slots, and export PNG plus JSON metadata (tile size, grid, PPU) for import into Unity.
- When to use it
- Use it when an assistant should produce pixel-art game assets: single tiles, tileset sheets, or full tilemap layouts. It is meant to run alongside a Unity MCP server so exported sheets can be sliced and imported automatically; without that, the PNG and JSON must be imported manually.
- Requirements
- Runs locally over stdio as a Python package installed from PyPI or source; the manifest declares no authentication, environment variables or headers. Desktop only, not web-executable. Unity import requires a Unity project and, for automatic slicing, a separate Unity MCP server.
Installation
In SourceWeft
- Open ssyubix-pixelart-mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
ssyubix-pixelart-mcp
[GitHub Downloads] [PyPI Downloads] [Python]
MCP server (Python) for drawing pixel art and assembling 2D game tilesets.
Built with MCP Python SDK v1.x
(stable), stdio transport, designed to be used alongside
unity-mcp-server in a single agent session.
Installation
From PyPI:
Or from source:
Running
Connecting to Claude Desktop / Claude Code
Add to claude_desktop_config.json (Claude Desktop) or via
claude mcp add (Claude Code):
Tools List (24)
Drawing
pixelart_create_canvas,pixelart_import_canvas,pixelart_set_pixel,pixelart_draw_line,pixelart_draw_rect,pixelart_draw_circle,pixelart_draw_polygon,pixelart_flood_fill
Canvas Management
pixelart_clear_canvas,pixelart_flip_canvas,pixelart_duplicate_canvas,pixelart_get_canvas_info,pixelart_get_canvas_preview,pixelart_delete_canvas,pixelart_list_canvases
Color Palette
pixelart_generate_palette,pixelart_extract_palette
Size Suggestion
pixelart_suggest_tile_size,pixelart_suggest_tilemap_layout
Tileset
pixelart_create_tileset,pixelart_set_tile,pixelart_export_tileset,pixelart_delete_tileset,pixelart_list_tilesets
Terminology: Tile vs Tileset vs Tilemap
These are easy to conflate and doing so produces broken/tiny output — a real bug that happened in production: an agent asked for a "tilemap" got back a single 32x32 canvas (that's a tile size) and shipped it as the whole map, which looked broken when used at real scale.
- Tile: one small square (e.g. 16x16px) —
pixelart_create_canvas. - Tileset: a sheet of many distinct tiles arranged in a grid (e.g. grass,
path, water tile types) —
pixelart_create_tileset+pixelart_set_tile+pixelart_export_tileset. - Tilemap: a full level/map, composed of many tiles placed across a grid (built the same way as a tileset, but every slot is filled to represent the actual level layout) — never a single tile-sized canvas.
Typical Workflow
For a single asset/tile:
pixelart_suggest_tile_size(optional) — ask for ideal tile size based on object category or screen resolution.pixelart_generate_palette— create color palette according to style/mood.pixelart_create_canvas→pixelart_set_pixel/draw_line/draw_rect/draw_circle/flood_fill— draw a single tile.pixelart_get_canvas_preview— view the result (upscaled PNG) before proceeding.
For a tileset or a full tilemap/level:
5. pixelart_suggest_tilemap_layout — get the grid (columns/rows) and total pixel
size needed, from either an explicit tile count or a target screen/level size.
6. pixelart_create_tileset with that grid → pixelart_set_tile for every slot → pixelart_export_tileset.
7. The result of export_tileset is PNG + JSON metadata (tile size, grid, PPU) —
the agent can then call unity-mcp-server tools to slice/import into a Unity project.
Running Tests
Structure
If unity-mcp-server is Not Available
pixelart_mcp is not technically dependent on unity-mcp-server —
all tools above work fully without it. The difference is only in the final step:
without unity-mcp-server, the result of pixelart_export_tileset (PNG +
JSON metadata) must be imported manually into Unity Editor. Here are the steps
(based on official Unity Manual), to guide an AI when helping a non-technical user:
- Copy the exported PNG file to the
Assetsfolder (or a subfolder likeAssets/Sprites) within your Unity project. - In the Project window, click on the PNG file. In the Inspector panel:
- Texture Type →
Sprite (2D and UI) - Sprite Mode →
Multiple(because it contains many tiles in one sheet) - Pixels Per Unit → enter the
ppuvalue from the JSON metadata file - Filter Mode →
Point (no filter)— to keep pixel art sharp, not blurred - Compression →
None— to prevent color corruption - Click Apply.
- Texture Type →
- Click the Sprite Editor button in the Inspector to open the Sprite Editor.
- In the Sprite Editor, click the Slice dropdown, select Grid By Cell Size,
then enter the Pixel Size with
tile_widthxtile_heightfrom the JSON metadata. - Click Slice, then click Apply in the Sprite Editor toolbar.
- Done — each tile is now a separate sprite that can be dragged directly into the Scene or used in a Tilemap.
All required values (tile_width, tile_height, ppu) are automatically
available in the .json file generated by pixelart_export_tileset
— the AI does not need to calculate them, just read them and guide the user
through the steps above.
For AI Agents Maintaining/Developing This Project
Read AGENTS.md first — it contains the architecture map, mandatory conventions,
checklist for adding new tools, and the workflow for handling user feedback/feature requests.
License
Apache License 2.0 — see LICENSE and NOTICE files.
Publishing to PyPI & MCP Registry
See PUBLISHING.md for complete guide (exact commands, requires personal
credentials — PyPI token & GitHub OAuth login).
SDK Version Notes
This server is built on top of v1.x MCP Python SDK (stable, recommended for production). SDK v2 is still pre-release as of July 2026 — not used here per policy of "only stable/current official references".
Source: README.md at commit c92482f
Tools
0Version history
1- v0.1.1LatestSep 16, 2026
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- Tools listed15 pts
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