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Deterministic photo-to-crochet-chart engine: stitch counts, 5 techniques, yarn estimates.
About
Deterministic photo-to-crochet-chart engine: stitch counts, 5 techniques, yarn estimates.
Security Report
Well-structured MCP server for deterministic image processing with clean code, proper input validation, and appropriate permissions for its use case. No authentication is required (expected for a local image processing tool), and the server has no malicious patterns or dangerous credential handling. Minor concerns around exception handling in font loading and optional dependency availability do not materially impact security. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
7 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-dengyu123456-crochet-engine": {
"args": [
"crochetpatterngen-engine"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
crochetpatterngen-engine
The deterministic photo-to-crochet-chart engine behind crochetpatterngen.com — packaged as a Python library, CLI, and MCP server so AI agents (Claude Desktop, Cursor, etc.) can turn photos into crochet charts with exact stitch counts.
Deterministic, not generative. There is no AI image generation here — just resize, median-cut color quantization, and confetti cleanup. Same input, same chart, same stitch counts, every time. No hallucinated rows.
Why this engine
- Real stitch counts — every chart comes with per-color hex + stitch counts that sum exactly to the grid size. What you see is what you crochet.
- C2C block aspect correction — C2C blocks are physically wider than tall (0.7:1 h:w). The engine adjusts grid dimensions so the worked piece keeps the photo's proportions instead of coming out squashed.
- 5 technique presets —
graph,c2c,tapestry,mosaic,filet. - Yarn estimation — per-color yardage for 6 yarn weights (fingering → super bulky).
- Zero heavy deps — Pillow + numpy only. Optional
rembgextra for background removal.
Install
pip install crochetpatterngen-engine # core
pip install crochetpatterngen-engine[mcp] # + MCP server
pip install crochetpatterngen-engine[rembg] # + background removal
Python API
from PIL import Image
from crochet_chart_engine import generate_chart, render_design, estimate_yarn
png_bytes, meta = generate_chart(
Image.open("photo.jpg"),
technique="c2c", # graph | c2c | tapestry | mosaic | filet
grid_w=60, # 20..120
n_colors=8, # 2..16
)
# meta: {"grid_w", "grid_h", "colors": [{"hex", "count"}],
# "total_stitches", "technique", "warning"}
yarn = estimate_yarn(meta, weight="worsted")
# {"total_yards": ..., "colors": [{"hex", "count", "yards"}], ...}
png_bytes, meta = render_design("designs/frog.txt") # ASCII design -> chart
CLI
crochet-chart chart photo.jpg out.png --technique c2c --grid-w 60 --colors 8
crochet-chart design designs/frog.txt frog.png
crochet-chart yarn photo.jpg --technique graph --weight worsted
MCP server (Claude Desktop & friends)
Add to claude_desktop_config.json:
{
"mcpServers": {
"crochet": {
"command": "uvx",
"args": ["--from", "crochetpatterngen-engine[mcp]", "crochetpatterngen-mcp"]
}
}
}
Or with a regular pip install:
{
"mcpServers": {
"crochet": {
"command": "python",
"args": ["-m", "crochet_chart_engine.mcp_server"]
}
}
}
Tools exposed (stdio transport):
| Tool | What it does |
|---|---|
photo_to_chart | Local image path → chart PNG (base64 or saved to output_path) + per-color stitch counts JSON |
render_ascii_design | ASCII design file → chart PNG + stitch counts |
estimate_yarn_tool | Stitch counts → per-color yardage for one yarn weight or all |
ASCII design format
See designs/frog.txt and designs/dragon.txt:
# comment
palette: G=#58A05C, W=#FFFFFF, .=#FAFAF7
title: Frog Face
technique: graph
---
..GGGG..........GGGG....
.GGWWGG........GGWWGG...
One character per stitch; . is the background/padding color. Rows are padded to the longest row.
Development
pip install -e .[dev,mcp]
pytest tests/
License
MIT — see LICENSE.
Free web tool + pattern library at crochetpatterngen.com.
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