Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Convert, resize, crop, filter & composite images via the imgcli CLI (lightweight, no deps)
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
IMGCLI_BINYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"imgcli": {
"command": "npx",
"args": [
"-y",
"imgcli-mcp"
],
"env": {
"IMGCLI_BIN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add imgcli --env IMGCLI_BIN=your-value -- npx -y imgcli-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"imgcli": {
"command": "npx",
"args": [
"-y",
"imgcli-mcp"
],
"env": {
"IMGCLI_BIN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"imgcli": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"imgcli-mcp"
],
"env": {
"IMGCLI_BIN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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IMGCLI_BIN envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account swperb, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, FOGA node
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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ImageMagick's power, ffmpeg's syntax, zero dependencies. A tiny C binary that converts, resizes, crops, filters, and composites images — PNG, JPEG, BMP, TGA, GIF, PPM, QOI — driven by an ffmpeg-style filtergraph. No system libraries; compiles anywhere a C11 compiler exists.
⚡ ~8× faster than ImageMagick on common resize/filter ops, in a 232 KB
single binary (~470× smaller) — see the benchmarks. A lightweight
alternative to ImageMagick
convertorffmpegfor still images.
# Convert + resize + filter in one pass:
imgcli -i photo.jpg -vf "scale=1024:-1,grayscale,contrast=1.2,gblur=1.5" out.png
What it does: format conversion · resize / scale · crop · pad · rotate · flip · brightness / contrast / saturation / gamma / hue · grayscale · sepia · invert · threshold · box & Gaussian blur · sharpen · Sobel edge detect · emboss · custom convolution kernels · alpha-composite overlay · draw boxes · solid fills.
Design: the same paradigm as ffmpeg — *decode → normalize to one common frame format (RGBA) → run a comma-separated filtergraph → encode by output extension.*
imgcli vs ImageMagick on an Apple Silicon Mac (single-threaded, warm cache). Reproduce with make && bench/bench.sh — see bench/RESULTS.md for the full method and caveats.
| Operation | imgcli | ImageMagick | speedup |
|---|---|---|---|
| PNG→JPEG + resize (one-shot) | 1.6 ms | 4.7 ms | 2.9× |
| Resize 1200×1200 → 300w | 6.0 ms | 51.6 ms | 8.6× |
| Grayscale 1200×1200 | 48.4 ms | 389 ms | 8.0× |
| Footprint | imgcli | ImageMagick |
|---|---|---|
| Install size | 232 KB | ~109 MB (≈470× larger) |
| Dependencies | 0 (libc only) | 17 packages |
ImageMagick is a far broader 16-bit/HDRI toolkit with 200+ formats; imgcli is a lean 8-bit pipeline that wins on speed, size, and startup — the shape that matters when an agent or script spawns one process per task.
The default build is dependency-free — a single binary that links only the system C library (libc). Decoding/encoding is handled by the bundled, public-domain stb and qoi single-header libraries, compiled directly in. Nothing to apt install, no shared libraries, no version hell.
make WEBP=1) that link those libraries.**The "zero dependencies" claim applies to the default build, and always will —
opt-in format libraries are never compiled into it.** A build that enables such
a flag is, by definition, no longer dependency-free, and that trade-off is
stated at the point you opt in.
| ffmpeg concept | imgcli equivalent |
|---|---|
AVFrame / pixfmt | every image is normalized to packed 8-bit RGBA (Image) |
| demuxer/decoder | img_load via vendored stb_image (PNG/JPEG/BMP/TGA/GIF/…) |
-vf filtergraph | name=a:b:c, name, … chain parsed in filters.c |
AVFilter | each filter mutates or replaces the current frame |
| muxer (by extension) | img_save (png/jpg/bmp/tga + a hand-written PPM writer) |
lavfi test sources | testsrc=, color=, gradient=, checker= generators |
Codecs come from the public-domain stb single-header libraries (third_party/). They're bundled, not linked, so the tool stays portable and self-contained while still reading/writing the formats the world actually uses — the same trade-off ffmpeg makes by leaning on codec libraries instead of reinventing them.
# Homebrew (macOS / Linux)
brew install swperb/tap/imgcli
nix run github:swperb/imgcli -- -y -i in.png out.jpg nix profile install github:swperb/imgcli
curl -fsSLO https://github.com/swperb/imgcli/releases/latest/download/imgcli_0.5.0_amd64.deb sudo apt install ./imgcli_0.5.0_amd64.deb
yay -S imgcli # or: paru -S imgcli
docker run --rm -v "$PWD:/work" -w /work ghcr.io/swperb/imgcli -y -i in.png out.jpg
winget install swperb.imgcli
scoop install https://raw.githubusercontent.com/swperb/imgcli/main/packaging/scoop/imgcli.json
make # produces ./imgcli make demo # generates a few sample images sudo make install # installs the binary + man page to /usr/local
An MCP server wraps imgcli so AI agents can call convert_image, probe_image, and list_filters directly — see mcp/.
imgcli [-i INPUT]... [-vf GRAPH] [-q N] [-f FMT] [-y|-n] [--json] OUTPUT
-i INPUT a file, '-' for stdin, or a generator (testsrc=WxH, color=NAME:WxH, gradient=WxH, checker=WxH). Repeat -i for compositing inputs; the first is the primary frame, the rest feed overlay. -vf GRAPH filtergraph, e.g. "scale=800:-1,grayscale,gblur=2" -q N JPEG quality 1..100 (default 90) -f FMT output format (png/jpg/bmp/tga/ppm/qoi); required when OUTPUT is '-' (stdout), an optional override for files -y / -n overwrite / never overwrite the output --out-dir D batch mode: write one output per input into D (basename kept, extension from -f or the input). Globs in -i are expanded. --fail-fast in batch mode, stop at the first failing file --json emit one machine-readable JSON result line (an array in batch) --quiet suppress the human-readable success line --dry-run validate the filtergraph + report output dims; write nothing -filters [NAME] list every filter, or just NAME's syntax (add --json for a machine-readable list) -info print input dimensions and exit -V print version -h help
OUTPUT is a file path or '-' for stdout. When piping, the result line is written to stderr so stdout carries only the encoded image bytes.
Batch mode (--out-dir) processes each input independently and keeps going on per-file errors (use --fail-fast to stop). The exit code is non-zero if any file failed.
Colours accept #rgb, #rrggbb, #rrggbbaa, 0x…, r-g-b[-a], or names (red, white, transparent, …). No commas, so they're safe inside a graph.
Geometry — scale=W:H[:nearest|bilinear|bicubic|lanczos] (-1 keeps aspect; bicubic/lanczos are high-quality separable resamplers that anti-alias on downscale and stay sharp on upscale — bilinear is the default), crop=W:H[:X:Y], pad=W:H[:X:Y[:color]], hflip, vflip, transpose=90|180|270, rotate=DEG[:color] (arbitrary angle, canvas expands).
Colour — grayscale, invert, sepia, solarize, brightness=V, temperature=V, contrast=V, saturation=V, gamma=V, hue=DEG, threshold=V, opacity=V, tint=color.
Convolution — blur=R (box), gblur=SIGMA (separable Gaussian), sharpen[=AMOUNT], edge (Sobel), emboss, convolution=K[:DIV:BIAS] (custom N×N kernel, e.g. convolution=0 -1 0 -1 5 -1 0 -1 0).
Composite / draw — overlay=X:Y[:INDEX] (alpha "over" compositing of another -i input), fill=color, drawbox=X:Y:W:H:color[:fill|thickness].
# Thumbnail, preserving aspect ratio (lanczos = best downscale quality)
imgcli -i photo.jpg -vf "scale=400:-1:lanczos" thumb.png
imgcli -i photo.jpg -vf "saturation=0.6,contrast=1.15,gblur=1" look.jpg
imgcli -i page.png -i logo.png -vf "opacity=0.6,overlay=24:24" out.jpg
imgcli -i sticker.png -vf "rotate=30:transparent" rotated.png
imgcli -i testsrc=640x480 card.png
curl -s https://example.com/in.png | imgcli -i - -vf "scale=800:-1" -f jpg - > out.jpg
imgcli -i "photos/*.jpg" --out-dir thumbs -vf "scale=400:-1:lanczos" -f png
imgcli is built to be a reliable tool in an automated pipeline: one self-contained binary, no dependencies, deterministic, non-interactive, and machine-readable. See AGENTS.md for a token-economical recipe sheet.
# Always pass -y (don't prompt) and --json (parseable result) in automation:
imgcli --json -y -i in.jpg -vf "scale=512:-1" out.png
-y; one process per conversion.--json for results, --quiet to silence chatter; stable exit codes (0 ok, 1 runtime error, 2 usage error).imgcli --json -info -i file.jpg.imgcli decodes untrusted image files in C, so memory safety is taken seriously. The codebase has been audited against the OWASP Top 10, common C/CWE classes, and ffmpeg's historical vulnerability classes. Highlights:
_FORTIFY_SOURCE, stack protector, PIE/RELRO, format warnings), ASan/UBSan (make asan), and a fuzz harness (make fuzz).Full threat model, OWASP/CWE mapping, ffmpeg-CVE-class analysis, and dependency policy: [SECURITY.md](SECURITY.md).
src/image.{h,c} Image (RGBA frame) + load/save (stb glue, PPM writer)
src/filters.{h,c} filtergraph parser + every filter + registry src/source.{h,c} synthetic input generators src/util.{h,c} colour / size parsing src/main.c CLI argument handling (incl. --json output) third_party/ vendored stb_image.h, stb_image_write.h (public domain) fuzz/ libFuzzer harness for the decode -> filtergraph path AGENTS.md token-economical usage guide for
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