MCP.Market

atx-mcp server

by gridhra·io.github.gridhra/atx-mcp·v0.6.7

Deterministic, non-generative image transform MCP server: reproducible recipes, immutable originals.

A88/100grade A
What users say
No reviews yet
Be the first
Safety scan
A88/100

not scanned yet

Adoption
New

0 stars

Reviews

Write one

Nobody has reviewed atx-mcp yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

atx-mcp tools

No tool declarations could be read from the package source. They show once the server is installed.

Not scanned yet. New listings are scanned within a day or two of arriving.

How atx-mcp compares

Against every graded Media MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 78% of 1,337 Media servers

Release history: 5 versions in the registry since 2026-09-16, latest 2026-10-26, typically one every 13 days.

Install atx-mcp in Claude Code, Cursor or VS Code

The registry entry has no remote endpoint or installable package.

What the publisher says

From the atx-mcp repository's README, as published. We do not edit it. Read it on GitHub

atx-mcp

English | 日本語 | 简体中文

A deterministic (non-generative) asset transformation MCP server for general-purpose AI agents, written in Rust.

It executes editing intent — "level the horizon, crop to 16:9, brighten it up a touch" — as a declarative transform recipe, and tracks every result as an immutable revision. The original asset is never modified.

Tilt correction + auto levels + a look applied (a fully deterministic recipe) — left: input / right: output.

See docs/DESIGN.md for the full design.

Use cases

  1. Eye-catch image for an article

"Straighten this photo and crop it to a 16:9, 1600px eye-catch. WebP."

importasset → detecttilt (the AI skips correction when it's already near-level) → applytransform (rotate → crop → resize → encode) → exportasset. The original is never touched, and the same recipe reproduces the same result every time.

  1. Multiple sizes for social/CMS

"Generate the OGP, Instagram square, and thumbnail versions of this photo."

One original fans out into OGP 1200×630, Instagram 1080 square, and a 400px thumbnail in parallel. The same-recipe-same-revision idempotency means re-running never double-creates output; a one-word preset name works too.

  1. Safe to publish

"Strip the location data for sure, but don't touch the colors."

stripmetadata (exif) removes EXIF including GPS while keeping the ICC profile intact. The AI can also warn ahead of time by checking hasgps from inspect_image.

  1. Color and look adjustments

"Make just the sky bluer, leave everything else alone."

Covers curves / levels / hsl / whitebalance, the filmsoft preset, and importing your own .cube LUT with import_asset then applying it with lut.

  1. Local (masked) adjustments

"Darken just the sky a bit, keep the ground as is."

generatemask builds a mask (gradient, luminosity range, or hue range); after wiring it into the adjustment, renderpreview with overlay:"mask" shows exactly where it will bite before you commit.

  1. Layer compositing

"Blur a copy of this photo and blend it in at 50% screen for a soft glow."

The layers stack combines 16 blend modes, opacity, and masks to build reproducible composites like soft focus.

  1. Watermarks, retouching, and perspective

"Stamp my logo in the corner, remove the power lines, and fix the converging verticals."

svg_overlay burns in a logo, clone/heal remove blemishes or wires by compositing both texture and tone, and perspective corrects converging verticals.

  1. Reading documents (OCR pre-processing)

"Read this receipt photo for me." / "What does this slide say?"

detectdocument finds the page or screen and returns a perspective quad ready to paste, the ocrdocument preset (grayscale, auto levels, light sharpen) and trim concentrate the pixel budget on the text, and renderpreview with longedge:1568 hands the model an image it can actually read. No OCR engine is bundled: the model does the reading, atx only makes the pixels legible and reproducible. detecttextblocks answers the question that decides the rest — "will this text survive the downscale, and where do I cut?" — by returning the text blocks in reading order plus ready-to-paste crop bands. threshold (Otsu / Sauvola) and ocr_binarize exist for external OCR engines.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

atx-mcp: common questions

Is atx-mcp server safe?
Yes, by our scan: it is graded A (88/100). Read the atx-mcp safety report
Does atx-mcp need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is atx-mcp maintained?
The last commit was 35 days ago (2026-09-30). The latest release is v0.6.7.
What can I use instead of atx-mcp?
Servers from other publishers that do the same job: Rendobar MCP server, Remove AI Watermarks MCP server and Transloadit Media Processing MCP server.

Alternatives to atx-mcp

Same job from other publishers: the closest match first, then the best rated.

  • Rendobar
    Transform video, audio and images, and generate media from prompts. FFmpeg, captions, models.
    A
  • Remove AI Watermarks
    Identify and remove AI watermarks and provenance metadata from your own images and video.
    A
  • Transloadit Media Processing
    Process video, audio, images and documents with Transloadit Robots. Connect by URL with OAuth.
    A
  • SuperCMO
    Marketing media generation — image, video, voice — for AI agents. BYO keys.
    B
  • three.ws Vision
    Image understanding for AI agents — analyze and describe any image via the three.ws pipeline.
    A