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atx-mcp

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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.

Before/after: a tilted synthetic cityscape straightened, levels auto-corrected, and a subtle look applied 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." import_assetdetect_tilt (the AI skips correction when it's already near-level) → apply_transform (rotate → crop → resize → encode) → export_asset. The original is never touched, and the same recipe reproduces the same result every time.

  2. 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.

  3. Safe to publish

    "Strip the location data for sure, but don't touch the colors." strip_metadata (exif) removes EXIF including GPS while keeping the ICC profile intact. The AI can also warn ahead of time by checking has_gps from inspect_image.

  4. Color and look adjustments

    "Make just the sky bluer, leave everything else alone." Covers curves / levels / hsl / white_balance, the film_soft preset, and importing your own .cube LUT with import_asset then applying it with lut.

  5. Local (masked) adjustments

    "Darken just the sky a bit, keep the ground as is." generate_mask builds a mask (gradient, luminosity range, or hue range); after wiring it into the adjustment, render_preview with overlay:"mask" shows exactly where it will bite before you commit.

  6. 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.

  7. 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.

  8. Verification and accountability

    "Show me this image before and after the edits, side by side." compare_revisions places before/after side by side, or returns a difference heatmap with stats like mean_abs_diff. Every revision keeps its lineage, so the full edit history behind any image used in an article can be traced and reproduced — byte-identical on any machine.

What atx doesn't do — generative editing, RAW development, ML-based auto-cropping — is out of scope; see docs/DESIGN.md for the roadmap.

Install

No Rust toolchain required. Pick one of the following.

Node.js 18+ is all you need. The prebuilt native binary for your platform is pulled in automatically via optionalDependencies.

# --scope user makes it available in every project (omit for current-project only)
claude mcp add --scope user asset-transform -- npx -y atx-mcp --workspace /path/to/asset-workspace

Or add it directly to your MCP client config:

{
  "mcpServers": {
    "asset-transform": {
      "command": "npx",
      "args": ["-y", "atx-mcp", "--workspace", "/path/to/asset-workspace"]
    }
  }
}

2. Prebuilt binary

Installer scripts (default install location is ~/.local/bin, or %LOCALAPPDATA%\Programs\atx-mcp on Windows; the archive is verified against SHA256SUMS before extraction):

# macOS / Linux
curl -fsSL https://raw.githubusercontent.com/gridhra/atx-mcp/main/scripts/install.sh | sh
# Windows
irm https://raw.githubusercontent.com/gridhra/atx-mcp/main/scripts/install.ps1 | iex

To download manually, grab atx-mcp-<version>-<target>.tar.gz (.zip on Windows) from Releases. Supported targets:

Platform

Target triple

macOS (Apple Silicon)

aarch64-apple-darwin

macOS (Intel)

x86_64-apple-darwin

Linux x86_64

x86_64-unknown-linux-musl (statically linked, no glibc required)

Linux arm64

aarch64-unknown-linux-musl (statically linked, no glibc required)

Windows x86_64

x86_64-pc-windows-msvc

claude mcp add asset-transform -- ~/.local/bin/atx-mcp --workspace /path/to/asset-workspace

3. Build from source (any other platform)

All you need is a Rust toolchain and a C compiler (for building libwebp from its vendored source).

cargo build --release
# => target/release/atx-mcp
claude mcp add asset-transform -- "$PWD/target/release/atx-mcp" --workspace /path/to/asset-workspace

--workspace (env: ATX_WORKSPACE) is the directory used as the asset store. It is created automatically if it doesn't exist.

Tools (11)

Tool

Role

list_operations

Compact catalog of the recipe vocabulary: every operation with a one-line description and terse parameter hints, plus the built-in preset names. Optional category:"geometry"|"color"|"filter"|"output" narrows it (read-only)

explain_operation

Full reference for one operation: parameter table (type, range, required/default, semantics), ready-to-paste JSON examples and gotchas. A built-in preset name works too and returns its full operation list. An unknown name returns the valid operations and presets, grouped (read-only)

import_asset

Import a local image into the workspace (sha256-idempotent). Takes path for one file or paths for a batch of up to 64 (a failing file does not abort the batch). Warns via already_derived_from when the bytes are already the output of a recipe in this workspace

inspect_image

Inspect dimensions, EXIF, ICC profile, presence of GPS data, etc. (read-only)

detect_tilt

Estimate tilt angle via Canny+Hough (coarse) plus a projection profile (sub-0.1° refinement). Also returns horizontal/vertical family estimates; the full score curve is opt-in via include_score_curve:true. Returns "do not correct" when confidence is low (read-only)

generate_mask

Generate a deterministic grayscale mask (linear_gradient / radial_gradient / luminosity_range / color_range) as a PNG revision with the same dimensions as the reference image, to be referenced from an operation's mask field (idempotent)

render_preview

Apply a recipe (or a preset) at low resolution (long edge ≤768) and return it as an inline image. overlay:"grid"|"thirds"|"horizon" overlays composition guide lines, and overlay:"mask" (with mask_revision_id) tints the coverage of a mask (drawn on the preview only; it has no effect on the actual transform)

apply_transform

Apply a recipe (or a preset) at full resolution and produce a new revision (the same recipe always yields the same revision). Takes revision_id for one image or revision_ids to run the same recipe over a batch of up to 64

compare_revisions

Downscale two revisions to long edge ≤640 and return them composited into a single inline image, arranged via layout:"side_by_side"|"stacked" (for A/B and before/after visual comparison), or layout:"diff" for a single pixel-difference heatmap plus mean_abs_diff/max_abs_diff/changed_pixel_ratio stats (requires equal dimensions)

list_assets

Read the revision ledger (read-only)

export_asset

Write a revision out to a given path (an existing file is only overwritten when overwrite:true is explicitly set)

Recipe example

{
  "operations": [
    { "op": "rotate", "angle_degrees": -1.8 },
    { "op": "crop", "aspect_ratio": "16:9" },
    { "op": "resize", "width": 1600 },
    { "op": "encode", "format": "webp", "quality": 82 }
  ]
}

Supported ops (27): auto_orient / rotate / perspective / crop (crop, pad) / resize (cover, contain, fill) / adjust / color_matrix / curves / levels / lut / white_balance / hsl / blur / median / unsharp_mask / convolve / clone / heal / svg_overlay / flip / vignette / grain / gradient_map / pixelate / auto_levels / encode (jpeg, png, webp, avif) / strip_metadata. The operation vocabulary is deliberately kept out of the tool schemas: call list_operations for the up-to-date catalog and explain_operation for one operation's full schema, examples and gotchas.

LUT (.cube)

A .cube 3D/1D LUT is an asset, not an image: import it first, then point a recipe at the revision it produced.

  1. import_asset the .cube file. It is stored as an immutable revision with mime_type: "application/x-cube" (inspect_image refuses it on purpose — it is not an image).

  2. Reference the returned revision_id from a recipe:

{ "op": "lut", "lut_revision_id": "rev_...", "strength": 0.8 }

strength (0..1, default 1.0) blends linearly with the original. Because revisions are immutable, including the referenced id in the recipe_hash keeps the transform fully deterministic — but it also means the recipe is only reproducible inside a workspace that holds that LUT, so move the .cube alongside the recipe when you move a look between machines. Referencing an unknown id fails with a structured error before any pixel work happens.

SVG overlays (logos and watermarks)

An .svg is a vector asset, like a .cube LUT: import it first, then stamp it onto a raster image from a recipe.

  1. import_asset the .svg file. It is stored as an immutable revision with mime_type: "image/svg+xml", and the summary reports the SVG's intrinsic size (0x0 means it has none — no viewBox and no absolute width/height on the root <svg>). inspect_image refuses it on purpose: it is a vector asset, not a raster image.

  2. Reference the returned revision_id from a recipe:

{ "op": "svg_overlay", "svg_revision_id": "rev_...",
  "x": 24, "y": 24, "width": 320, "opacity": 0.25, "blend_mode": "normal" }

x/y are the overlay's top-left corner in the coordinates of the image at that point in the pipeline (so put the overlay after your resize/crop); negative values are allowed and the overflow is clipped. Omit width and height to rasterize at the SVG's intrinsic size, give one to scale while preserving the aspect ratio, or give both to stretch to an exact box — an SVG with no intrinsic size is a structured error unless you give both. Compositing uses the same W3C formula and the same 16 blend_mode values as layers.

Text is never rendered. atx loads no system fonts, because the installed fonts differ from machine to machine and would break byte-for-byte reproducibility. An SVG containing <text> renders its shapes but not its glyphs and reports a warning — convert text to paths (outlines) in your vector editor before importing, and the result is identical on every machine.

Masks (local adjustments)

A mask is a grayscale image revision: its BT.709 luma is the weight, so white means "apply this operation at full strength" and black means "leave the pixel alone". Any of the 14 tone/filter ops (adjust, color_matrix, curves, levels, hsl, lut, white_balance, blur, median, unsharp_mask, convolve, grain, gradient_map, auto_levels) accepts one.

  1. generate_mask builds one deterministically against a reference image, with exactly that image's dimensions:

kind

Parameters

What it selects

linear_gradient

angle_degrees (0 = white at the top fading down, positive = clockwise), start, end (0..1 positions along the axis where the weight goes 1→0)

A graduated filter (skies, foregrounds)

radial_gradient

center_x, center_y (0..1 relative), radius (0..1 of the half-diagonal), feather (0..1 extra falloff band)

A vignette or a subject spotlight

luminosity_range

min, max (0..255), feather (luma units of soft shoulder outside the range)

Highlights, midtones or shadows

color_range

hue_center (0..360), hue_width (1..180 half-width), feather (extra degrees)

One hue family (sky blue, foliage green)

You can also import_asset your own grayscale image instead.

  1. Attach the returned revision_id to an operation:

{ "op": "curves", "master": [[0,0],[128,168],[255,255]],
  "mask": { "revision_id": "rev_...", "invert": false, "feather_px": 8.0 } }

invert (default false) flips the weight to 1-w; feather_px (default 0.0) blurs the mask edge by that gaussian sigma in pixels of the current image.

  1. render_preview with overlay:"mask" and mask_revision_id tints the preview red where the weight exceeds 0.5 and dims it elsewhere, so the coverage can be checked before committing.

Masks are referenced by revision id exactly like LUTs, so the same caveat applies: the recipe hash includes the id, and the recipe only reproduces inside a workspace that holds that mask.

Layers

A recipe may carry a layers stack instead of (or in addition to) a flat operations list. Layers composite bottom-to-top, each layer's ops run against its own source before it is blended onto the running composite:

{
  "layers": [
    { "source": "base", "ops": [] },
    {
      "source": { "revision_id": "rev_..." },
      "ops": [{ "op": "blur", "sigma": 8 }],
      "blend_mode": "multiply",
      "opacity": 0.6
    }
  ],
  "operations": [
    { "op": "resize", "width": 1600 },
    { "op": "encode", "format": "webp", "quality": 82 }
  ]
}
  • source is either "base" (the input revision passed to apply_transform / render_preview) or {"revision_id": "rev_..."} (any other revision already in the workspace). Every layer's source must match the base image's dimensions exactly, or the recipe fails with a structured error before any pixel work happens.

  • ops is a normal operations list, applied to that layer's source alone.

  • mask, blend_mode (default "normal") and opacity (default 1.0) control how the layer composites onto the layers below it.

  • Blend mode is one of 16 W3C modes: the 12 separable modes normal, multiply, screen, overlay, darken, lighten, color_dodge, color_burn, hard_light, soft_light, difference, exclusion, plus the 4 non-separable modes hue, saturation, color, luminosity.

  • When layers is present, the top-level operations becomes the finishing pass, applied once to the composited result — this is where resize and the final encode belong (encode must still be last and appear at most once).

  • Call explain_operation {"operation":"layers"} for the full reference.

Presets

apply_transform and render_preview take either recipe (the raw DSL) or preset (a built-in named recipe from presets/) — exactly one of the two:

Set

Preset

What it does

basics

eyecatch_16_9

Center-crop to 16:9, resize to 1600px wide, WebP q82

basics

film_soft

Soft film look: gentle S-curve plus a 15% pull towards luma

basics

product_clean

Clean product shot: near-neutral white balance, levels lift, light sharpen

basics

thumbnail_square

Center-crop to 1:1, resize to 800x800, WebP q80

basics

web_optimize

Fit inside 2000x2000 without upscaling, WebP q80

basics

grayscale

Black and white via a BT.709 luma color_matrix

basics

sepia

Classic sepia tone via color_matrix

film

film_warm

Warm film stock: amber white balance, soft S-curve, light grain

film

film_cool

Cool film stock: blue-leaning white balance, soft S-curve, light grain

film

matte_fade

Faded matte: lifted blacks via curves, slight desaturation

film

film_grain_strong

Heavy, coarse grain over a gentle S-curve (pushed/high-ISO look)

film

cinema_teal_orange

Teal-and-orange cinematic grade via targeted hsl shifts

mono

bw_neutral

Neutral black and white via a BT.709 luma color_matrix

mono

bw_high_contrast

High-contrast black and white: luma conversion plus a strong S-curve

mono

bw_red_filter

B&W through a simulated red filter (classic sky darkener)

mono

bw_soft

Soft, low-contrast black and white (matte curve)

mono

duotone_navy_cream

Navy-to-cream duotone via gradient_map

editorial

product_white

Auto levels stretch, neutral white balance, final sharpen

editorial

food_vivid

Warm orange/yellow saturation boost plus a contrast lift

editorial

portrait_soft

Soft matte curve, light desaturation, subtle vignette

editorial

landscape_punch

Contrast + saturation lift plus a light vignette

editorial

architecture_clean

Auto levels, sharpen, slight desaturation (pair with a manual perspective op)

social

og_1200x630

Open Graph share image: crop 1200:630, resize to 1200 wide, WebP q82

social

x_wide_16_9

X (Twitter) wide card: crop 16:9, resize to 1600 wide, WebP q82

social

instagram_square_1080

Instagram square post: crop 1:1, resize to 1080x1080, WebP q85

social

instagram_portrait_4_5

Instagram portrait post: crop 4:5, resize to 1080x1350, WebP q85

social

youtube_thumb_1280x720

YouTube thumbnail: crop 16:9, resize to 1280x720, WebP q85

social

hero_2400

Large hero/banner image: fit inside 2400px, WebP q85

building block

soft_vignette

Subtle vignette on its own, for stacking after other looks

building block

grain_fine

Light, fine, deterministic grain on its own, for stacking

A preset is pure sugar: it resolves to its recipe and flows through the normal pipeline, and the recipe_hash (the idempotency key) is computed on the resolved recipe — so a preset call and the equivalent raw recipe land on the same revision.

Guarantees

  • Deterministic: the same input + the same recipe always produces byte-identical output (regression-checked with golden tests)

  • Idempotent: recipes are normalized (keys sorted, f64 values quantized to a 1e-6 grid) and hashed with sha256. If (input revision, recipe hash) matches an existing pair, the existing revision is returned instead of a new one

  • Originals are protected: objects/ is an append-only, content-addressed store — there is no delete or overwrite API

Development

cargo test --workspace     # unit + integration + property (proptest) tests
cargo clippy --workspace --all-targets -- -D warnings

Crate layout: atx-core (recipe/transform engine) / atx-geometry (tilt detection) / atx-store (immutable asset store) / atx-mcp (rmcp stdio server).

See RELEASING.md for the release process.

Name

"atx" stands for Asset Transform; the trailing x follows the familiar shorthand for "transform" (as in xform / tx). It was chosen as a short, easy-to-type binary name and crate prefix (atx-core, etc.), and it has no relation to the PC ATX form factor or Markdown ATX-style headings.

License

MIT. See LICENSE.

If atx-mcp saves you time, you can buy me a coffee

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