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Atx MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe havenโ€™t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time โ€” check back soon.
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Deterministic, non-generative image transform MCP server: reproducible recipes, immutable originals.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "atx-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "atx-mcp"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Documentation Overview

atx-mcp

English | ๆ—ฅๆœฌ่ชž | ็ฎ€ไฝ“ไธญๆ–‡

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

It executes editing intent โ€” "level the horizon, crop to 16:9, brighten it up a touch" โ€” 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) โ€” 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_asset โ†’ detect_tilt (the AI skips correction when it's already near-level) โ†’ apply_transform (rotate โ†’ crop โ†’ resize โ†’ encode) โ†’ 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 1200ร—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. Reading documents (OCR pre-processing)

    "Read this receipt photo for me." / "What does this slide say?" detect_document finds the page or screen and returns a perspective quad ready to paste, the ocr_document preset (grayscale, auto levels, light sharpen) and trim concentrate the pixel budget on the text, and render_preview with long_edge: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. threshold (Otsu / Sauvola) and ocr_binarize exist for external OCR engines.

  9. 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 โ€” byte-identical on any machine.

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

Install

No Rust toolchain required. Pick one of the following.

1. npx (easiest, recommended)

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

sh
# --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:

config.json
{
  "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):

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

PlatformTarget triple
macOS (Apple Silicon)aarch64-apple-darwin
macOS (Intel)x86_64-apple-darwin
Linux x86_64x86_64-unknown-linux-musl (statically linked, no glibc required)
Linux arm64aarch64-unknown-linux-musl (statically linked, no glibc required)
Windows x86_64x86_64-pc-windows-msvc
Terminal
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).

sh
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 (12)

ToolRole
list_operationsCompact 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_operationFull 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_assetImport 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_imageInspect dimensions, EXIF, ICC profile, presence of GPS data, etc. (read-only)
detect_tiltEstimate tilt angle via Canny+Hough (coarse) plus a projection profile (sub-0.1ยฐ 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)
detect_documentFind the dominant quadrilateral (page, screen, whiteboard, sign) via Canny + contours and return it as a perspective-ready quad (tl, tr, br, bl) with confidence, area_ratio, an output_size_hint and a paste-ready suggested_operation. Returns quad:null with a reason (no_quad_found / already_rectified / low_confidence) rather than guessing (read-only)
generate_maskGenerate 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_previewApply a recipe (or a preset) at low resolution (long edge โ‰ค768 by default, long_edge 256..1568 to hand a vision model a legible page) 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_transformApply 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_revisionsDownscale two revisions to long edge โ‰ค640 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_assetsRead the revision ledger (read-only)
export_assetWrite a revision out to a given path (an existing file is only overwritten when overwrite:true is explicitly set)

Recipe example

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

Read the full README โ†’View source on GitHub โ†’

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Frequently Asked Questions about Atx MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "atx-mcp": { "command": "npx", "args": ["-y", "atx-mcp"] } }

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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28Quality signal: Emerging ยท 28/100How this signal is calculated โ–พ
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Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools12/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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