NeuroPaint-X
Allows loading fonts from Google Fonts for drawing text, such as specifying a font name like Poppins.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@NeuroPaint-XCreate a new canvas and draw a sunset gradient with text, then render a preview."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
NeuroPaint-X
An MCP server that gives an AI an Ibis-Paint-level image editor — a layered
raster painting canvas it drives with tool calls, renders, looks at, and
iterates on. (Python package name: mcp_paint.)
Stateful documents held in server memory: layers, blend modes, opacity, alpha-lock, undo/redo.
skia-python rendering: anti-aliased brushes (soft/hard/ink/marker/airbrush/ pencil), shapes, linear/radial gradients, flood fill, text, filters (blur / drop-shadow / glow / grayscale / saturate / brightness / contrast / invert / sharpen).
Pulls images and fonts straight from the internet —
place_image(url=…),draw_text(google_font="Poppins")orfont_url=….Token-frugal by design (see below).
Keeping token cost low
Image tokens ≈ width*height / 750. NeuroPaint-X minimises them:
lever | effect |
Mutating tools return one terse text line, never an image | you only pay image tokens when you choose to look |
|
|
| inspect a detail at high zoom without paying for the whole canvas |
| dozens of draw ops in one tool call = one round-trip, one undo step |
| writes a full-res PNG to disk — zero image tokens |
Each render reply also reports approx_image_tokens so the model can self-budget.
Related MCP server: ImageMcp
Run it
python -m venv .venv && . .venv/bin/activate
pip install -e .
# HTTP (for a Claude connector) — default 127.0.0.1:8765
python -m mcp_paint
# or stdio (for local Claude Code / Desktop)
MCP_PAINT_TRANSPORT=stdio python -m mcp_paintEnvironment
var | default | meaning |
|
|
|
|
| HTTP bind |
| (unset) | if set, require |
|
| where |
|
| downloaded images/fonts |
|
| max bytes per fetched asset |
Use as a Claude connector (self-hosted)
Run it on your box, bound to localhost, with a token:
MCP_PAINT_TOKEN=$(openssl rand -hex 24) python -m mcp_paintExpose that port over HTTPS with a tunnel:
cloudflared tunnel --url http://localhost:8765 # quick throwaway URL # or: tailscale funnel 8765 / ngrok http 8765In Claude → Settings → Connectors → Add custom connector:
URL
https://<your-tunnel>/mcpAuthentication: None (the server uses a shared header secret, not OAuth)
Additional request headers → Add header:
X-Paint-Token=<your MCP_PAINT_TOKEN>(Authorization=Bearer <token>also works)
With no
MCP_PAINT_TOKENthe server is open to anyone who has the tunnel URL. Set one.
Local Claude Code
.mcp.json (see .mcp.json.example):
{
"mcpServers": {
"paint": {
"command": "/ABS/PATH/NeuroPaint-X/.venv/bin/python",
"args": ["-m", "mcp_paint"],
"env": { "MCP_PAINT_TRANSPORT": "stdio" }
}
}
}Tool map
new_canvas · list_canvases · canvas_info · delete_canvas
render · export · pick_color · undo · redo
add_layer · select_layer · update_layer · delete_layer · duplicate_layer
· move_layer · merge_down · clear_layer
stroke · draw_rect · draw_ellipse · draw_line · draw_polygon
· draw_gradient · bucket_fill · draw_text · place_image · filter_layer
batch
Coordinates are pixels, origin top-left. Colors: #rgb / #rrggbb /
#rrggbbaa / rgb() / rgba() / CSS names / [r,g,b(,a)].
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