Ermöglicht es einem AI-Client, Bilder mithilfe einer leichtgewichtigen, dependency-freien C-Binary zu konvertieren, zu skalieren, zuzuschneiden und Filter anzuwenden.
Auch bekannt als swperb/imgcli, imgcli-mcp
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- Neueste Version
- 0.2.0
- Letzter Commit
- 13. Nov. 2026
- Lizenz
- MIT
Was ist imgcli MCP?
imgcli ist ein MCP server. Ermöglicht es einem AI-Client, Bilder mithilfe einer leichtgewichtigen, dependency-freien C-Binary zu konvertieren, zu skalieren, zuzuschneiden und Filter anzuwenden.
Zusammenfassung generiert aus dem README des Projekts
Über imgcli MCP server
Die Bildverarbeitung über einen AI-Client wird mit imgcli effizient gestaltet – einem leichtgewichtigen Tool, das für schnelle Konvertierung, Skalierung und Filterung entwickelt wurde. Es fungiert als einzelne, dependency-freie C-Binary, die lokal auf deinem Rechner läuft, was es ideal für automatisierte Pipelines macht, bei denen Geschwindigkeit und ein geringer Footprint entscheidend sind. AI Agents können über spezifische Tools wie convert_image, probe_image und list_filters mit ihm interagieren, um visuelle Daten zu manipulieren, ohne schwere System-Libraries zu benötigen.
Dieser Server nutzt eine ffmpeg-ähnliche Filtergraph-Syntax, um komplexe Aufgaben in einem einzigen Durchgang auszuführen, wie etwa Skalieren, Zuschneiden oder das Anwenden von Farbkorrekturen wie Graustufen und Sepia. Er unterstützt verschiedene Formate, darunter PNG, JPEG, BMP, TGA, GIF, PPM und QOI. Da es sich um eine eigenständige 232 KB große Binary handelt, die nur mit libc verknüpft ist, vermeidet sie den Overhead und die Komplexität größerer Toolkits wie ImageMagick und bietet eine schnellere Alternative für Aufgaben wie das Generieren von Thumbnails oder das Wasserzeichen von Bildern.
Was du damit machen kannst
- 1Batch-Thumbnail-GenerierungEin AI Agent kann einen gesamten Ordner voller Bilder mit einem einzigen Befehl in kleine Thumbnails skalieren.
- 2Komplexe visuelle Filter anwendenDu kannst eine KI anweisen, ein Bild zu stylen, indem du mehrere Effekte wie Sättigung, Kontrast und Unschärfe kombinierst.
- 3Automatisiertes Bild-WatermarkingEntwickler können das Tool nutzen, um ein Logo mit spezifischen Deckkraft-Einstellungen über ein Hauptbild zu legen.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du imgcli MCP
Formate geprüft am 10. Nov. 2026imgcli MCP in Claude Code installieren
$ claude mcp add imgcli -- npx -y imgcli-mcpimgcli MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"imgcli": {
"command": "npx",
"args": [
"-y",
"imgcli-mcp"
]
}
}
}imgcli MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"imgcli": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"imgcli-mcp"
]
}
}
}imgcli MCP in Claude Desktop installieren
claude_desktop_config.json
{
"mcpServers": {
"imgcli": {
"command": "npx",
"args": [
"-y",
"imgcli-mcp"
]
}
}
}imgcli MCP in Codex installieren
~/.codex/config.toml
[mcp_servers.imgcli] command = "npx" args = ["-y", "imgcli-mcp"]
imgcli MCP in Gemini CLI installieren
~/.gemini/settings.json
{
"mcpServers": {
"imgcli": {
"command": "npx",
"args": [
"-y",
"imgcli-mcp"
]
}
}
}Konfiguration
IMGCLI_BINPath to the imgcli binary if not on PATH (e.g. after `brew install swperb/tap/imgcli`).
| Name | Beschreibung | Typ |
|---|---|---|
| IMGCLI_BIN | Path to the imgcli binary if not on PATH (e.g. after `brew install swperb/tap/imgcli`). |
Automatisierte Checks
Geluften am 14. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarswperb/imgcli is public and reachablegithub.com/swperb/imgcli ↗Bestanden
- Paket nennt dieses Repository als Quelleimgcli-mcp names swperb/imgcli as sourcenpmjs.com/package/imgcli-mcp ↗Bestanden
- Build-Herkunft (Sigstore-Attestierung)No build attestation published for this releaseNicht geprüft
- Open Source Lizenz (OSI)MITspdx.org/licenses/MIT.html ↗Bestanden
- Commit oder Release im letzten JahrLast commit or release 2026-11-02github.com/swperb/imgcli ↗Bestanden
- OpenSSF ScorecardOpenSSF Scorecard 7.9 / 10; weakest: CII-Best-Practices 0, Signed-Releases 0, Code-Review 2scorecard.dev/viewer/?uri=github.com/swperb/imgcli ↗Bestanden
- Package-Name ähnelt keinem populären PackageNo popular package one edit away from imgcli-mcpBestanden
- Kein kritischer Hinweis im Paket oder seinen Abhängigkeiten99 resolved dependencies checked; no critical advisoryosv.dev ↗Bestanden
- Keine versteckten Anweisungen an das Modell0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersBestanden
- Destruktive Tools sind markiertNicht geprüft
- Remote-Endpoint beantwortet den MCP-HandshakeNicht geprüft
README
Auf GitHub ansehenimgcli — command-line image conversion & processing in C
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.
Benchmarks
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.
Dependencies & formats
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.
- Built-in formats — no dependencies: PNG, JPEG, BMP, TGA, GIF, PPM, QOI. Other formats that can be implemented in plain C (e.g. TIFF) will also be built in and keep the binary dependency-free.
- Formats that need external libraries — opt-in only: WebP, AVIF, HEIC, and JPEG XL
cannot be decoded without large external libraries (libwebp, libavif, libheif, libjxl);
there is no public-domain single-header decoder for them and they are not
practical to hand-roll. If imgcli adds these, it will be strictly via opt-in
build flags (e.g.
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.
Why it's structured this way
| 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.
Install
# Homebrew (macOS / Linux)
brew install swperb/tap/imgcli
# Nix (no install — run straight from GitHub)
nix run github:swperb/imgcli -- -y -i in.png out.jpg
nix profile install github:swperb/imgcli
# Debian / Ubuntu / WSL (.deb from the latest release)
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
# Arch (AUR)
yay -S imgcli # or: paru -S imgcli
# Docker
docker run --rm -v "$PWD:/work" -w /work ghcr.io/swperb/imgcli -y -i in.png out.jpg
# Windows — winget
winget install swperb.imgcli
# Windows — Scoop (installs straight from the manifest)
scoop install https://raw.githubusercontent.com/swperb/imgcli/main/packaging/scoop/imgcli.json
# Prebuilt binaries: https://github.com/swperb/imgcli/releases
# From source (only a C compiler and -lm required)
make # produces ./imgcli
make demo # generates a few sample images
sudo make install # installs the binary + man page to /usr/local
Use it as a native agent tool (MCP)
An MCP server wraps imgcli so AI agents can
call convert_image, probe_image, and list_filters directly — see
mcp/.
Usage
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.
Filters
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].
Examples
# Thumbnail, preserving aspect ratio (lanczos = best downscale quality)
imgcli -i photo.jpg -vf "scale=400:-1:lanczos" thumb.png
# Stylise: desaturate a touch, boost contrast, soften
imgcli -i photo.jpg -vf "saturation=0.6,contrast=1.15,gblur=1" look.jpg
# Watermark a logo in the top-left, 60% opacity, then convert to JPEG
imgcli -i page.png -i logo.png -vf "opacity=0.6,overlay=24:24" out.jpg
# Rotate 30° onto a transparent canvas
imgcli -i sticker.png -vf "rotate=30:transparent" rotated.png
# No input file? Generate a test card.
imgcli -i testsrc=640x480 card.png
# Pipe-friendly: read stdin, write stdout (use -f to name the output format)
curl -s https://example.com/in.png | imgcli -i - -vf "scale=800:-1" -f jpg - > out.jpg
# Batch a whole folder into thumbnails (one call; per-file results)
imgcli -i "photos/*.jpg" --out-dir thumbs -vf "scale=400:-1:lanczos" -f png
For AI agents & scripting
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
# -> {"ok":true,"output":"out.png","width":512,"height":341,"format":"png","bytes":34122}
- Deterministic & non-interactive — never prompts; refuses to overwrite
without
-y; one process per conversion. - Structured output —
--jsonfor results,--quietto silence chatter; stable exit codes (0ok,1runtime error,2usage error). - No network, no subprocesses — safe to run on untrusted inputs in a sandbox.
- Probe without converting —
imgcli --json -info -i file.jpg.
Security
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:
- Decompression-bomb safe — dimensions are validated from the header before pixels are decoded; hard caps on size (16384 px/axis, 64 Mpx).
- Integer-overflow-safe allocation through a single capped choke point.
- No protocols/URLs/subprocesses — ffmpeg's worst class (SSRF / file-read via HLS playlists) is structurally impossible here.
- Hardened build (
_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.
Layout
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 agents/scripts
SECURITY.md threat model, OWASP/CWE mapping, hardening, dependency policy
Contributing
Contributor setup, validation targets, filter-registry guidance, and PR expectations live in CONTRIBUTING.md.
Have a question or idea? Use Discussions. For bugs and feature/format requests, open an issue — the templates will guide you.
Support
If imgcli is useful to you, consider sponsoring its development — it funds new formats, security hardening, and maintenance. See SPONSORS.md.
License
The imgcli source is yours to use freely (MIT). The vendored stb
headers are public domain (or MIT, at your option) and the vendored qoi.h is
MIT-licensed; full third-party notices are in
THIRD_PARTY_NOTICES.md.
imgcli MCP Fragen
Wie füge ich imgcli MCP zu Claude Code hinzu?
Führe claude mcp add imgcli -- npx -y imgcli-mcp in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich imgcli MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Welche Bildformate werden von imgcli standardmäßig unterstützt?
Der Standard-Build unterstützt PNG, JPEG, BMP, TGA, GIF, PPM und QOI ohne externe Abhängigkeiten.
Kann ich imgcli in einer automatisierten Pipeline oder mit einem AI Agent nutzen?
Ja, es ist für die Automatisierung ausgelegt und bietet ein --json Flag für maschinenlesbare Ergebnisse sowie ein --quiet Flag, um Ausgaben zu unterdrücken; zudem arbeitet es nicht-interaktiv.
Ist imgcli sicher beim Ausführen von nicht vertrauenswürdigen Bilddateien?
Ja, es enthält Sicherheitsfunktionen wie Schutz vor Decompression-Bombs und integer-overflow-sichere Allokation, zudem gibt es keine Unterstützung für Netzwerkprotokolle oder Subprozesse.