ASCII & SVG Art Studio
Enables AI to create ASCII and SVG art through a character canvas, with tools for drawing, previewing, and exporting to multiple formats, as well as composing stop-motion animations with optional voice-over.
README
. * . * . *
* ┌──────────────────────────┐ .
. │ A S C I I & S V G │ *
. │ A R T S T U D I O│ .
* └──────────────────────────┘ .
. * . * . *
ASCII & SVG Art Studio
English | 简体中文
An MCP server that gives an AI a drawing hand made of text. Build a character canvas, watch it render as a real PNG you can look at, iterate, export to PNG / JPG / PDF / SVG / TXT, or shoot a stop-motion animation and composite it into an MP4/GIF — with an optional voice-over synthesized from text.
It exposes itself to any MCP client as ASCII & SVG Art Studio.
What it looks like
<table> <tr> <td align="center"><img src="gallery/moonlit_bay/moonlit_bay.png" alt="Moonlit Bay — a night scene of a mountain silhouette, a full moon, scattered stars, and rippling water, drawn entirely in ASCII shading and framed in a double-line box" width="420"></td> <td align="center"><img src="gallery/daybreak_bay/daybreak_bay.png" alt="Daybreak Bay — the same bay at dawn: a backlit mountain silhouette, a half-risen sun with its shimmering reflection, fading stars, two birds, and a small sailboat heading out" width="420"></td> </tr> <tr> <td align="center"><em>"Moonlit Bay" — Claude Opus 4.6</em></td> <td align="center"><em>"Daybreak Bay" — Claude Fable 5</em></td> </tr> </table>
The same bay, by night and at dawn — a diptych drawn start to finish through this MCP's tools by two different Claude models: canvas drawing, shaded fills, box frames, rendered to PNG for preview, then exported to gallery/ in PNG, JPG, TXT (editable source), and print-ready PDF. Nothing was hand-edited outside the tool calls.
Tools
| Tool | What it does |
|---|---|
create_canvas |
Create a character canvas to draw on (up to 10M cells) |
canvas_draw |
Batch-draw onto a canvas: text, box, hline/vline/line, fill (shaded palettes), stamp, circle, ellipse, clear, char |
canvas_get |
Read a canvas back as text; supports reading just a region for large canvases |
canvas_resize |
Resize a canvas, keeping existing content where it still fits |
canvas_list / canvas_delete |
List / remove canvases |
preview |
Render text, a canvas, or SVG to a PNG and hand it back inline so the model can actually see it |
save |
Write to disk as PNG / JPG / PDF / SVG / TXT — quality and print-friendly (white bg) options included |
create_table |
Build a formatted ASCII table |
export |
One call to gallery/<name>/: editable source, metadata, and every requested format, organized |
animation_frame |
Stop-motion style: snapshot a canvas (or raw text) as one frame, with a hold (repeat count) |
animation_render |
Composite frames into MP4/GIF with ffmpeg; MP4 can be muxed with an audio track |
animation_list / animation_delete |
List / remove in-memory animations |
speak |
Text-to-speech via espeak-ng with an effects chain (robot / radio / echo / cave / deep) — feed the output straight into animation_render as a voice-over |
list_styles |
Reference sheet: available box-drawing styles and shading palettes |
The typical loop is draw → preview → tweak → preview again → save/export — the model gets to actually look at its own work before committing to a file.
Installation
Requires Python >= 3.10.
git clone https://github.com/SolenmeChiara/ASCII_ART_MCP.git
cd ASCII_ART_MCP
pip install -r requirements.txt
That gets you canvases, PNG/JPG/PDF/TXT export, and animation rendering. Two things are optional or external:
- SVG rendering (the
svg=input/output paths) needscairosvg, which isn't inrequirements.txtby default:
On Windows, cairosvg also needs the GTK runtime installed separately.pip install cairosvg - Animation rendering (
animation_render,exportwithmp4/gif) needs ffmpeg on yourPATH. - Voice synthesis (
speak) needs espeak-ng. It's looked up onPATHfirst, then atC:/Program Files/eSpeak NG/.
Known limitation: font handling is Windows-first
Text rendering (preview / save / export when the source isn't already an image) picks fonts from built-in candidate lists. On Windows that's C:/Windows/Fonts — seguisym.ttf, msgothic.ttc, simsun.ttc, consola.ttf, cour.ttf — covering monospace + symbols + CJK. Linux/macOS have their own fallback chain (DejaVu Sans Mono, Menlo, Monaco, Apple Symbols, PingFang — see server.py:288-335, server.py:505-507), but it has only been tested on Windows, and the Linux list currently has no CJK entry, so Chinese/Japanese/Korean glyphs may render as boxes there. The speak tool finds espeak-ng via PATH first and only falls back to the Windows install location (server.py:1440-1443), so a normally installed espeak-ng on Linux/macOS should just work. If your platform's fonts live elsewhere, point _find_font/_FALLBACK_FONT_PATHS at them. PRs welcome.
Running it
Mode A — stdio (local, the usual case)
Run it directly:
python server.py
Claude Desktop — add to your MCP config:
{
"mcpServers": {
"ascii-art-studio": {
"command": "python",
"args": ["/path/to/ASCII_ART_MCP/server.py"]
}
}
}
Claude Code:
claude mcp add ascii-art-studio -- python /path/to/ASCII_ART_MCP/server.py
Mode B — Streamable HTTP (remote / from your phone)
cp .env.example .env
python -c "import secrets; print(secrets.token_urlsafe(32))"
# paste the output into MCP_PATH_SECRET in .env
start_http.bat
This serves on port 8767. The MCP endpoint is at:
http://<host>:8767/mcp/<MCP_PATH_SECRET>/
with a plain health check at /health. To expose it to the internet without port-forwarding, start_tunnel.bat opens a Cloudflare quick tunnel (cloudflared) and prints a random *.trycloudflare.com URL.
Security note. The path secret is the only authentication this server has. Keep
.envout of version control (it already is — see.gitignore) and don't share the URL casually. The HTTP transport also disables MCP's DNS-rebinding protection (server.py:611-613) so it works behind a tunnel or bare IP — which means you should never run it publicly without a secret set. IfMCP_PATH_SECRETis empty,http_server.pyrefuses to mount the MCP endpoint at all.
A quick example
create_canvas(width=60, height=20, name="scene")
canvas_draw("scene", [
{"op": "box", "x": 0, "y": 0, "w": 60, "h": 20, "style": "double", "title": "Hello"},
{"op": "fill", "x": 1, "y": 1, "w": 58, "h": 18, "palette": "blocks", "direction": "radial"},
{"op": "text", "x": 22, "y": 10, "text": "Hello, world!"}
])
preview(canvas="scene") # look at it
save(path="D:/art/hello.png", canvas="scene") # happy with it, keep it
Credits
Inspiration and reference drawn from ascii-art-mcp by dmarsters and nakkas by arikusi. Thanks for showing what this space could look like.
License
MIT — see LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.