io.github.gridhra/atx-mcp

atx-mcp

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

71/wk 9 tools GitHub npm

No known CVEs

MIT license

Actively maintained

Last commit 5d ago

Works with most clients

Transport: stdio, sse

9 tools · ~357 tok

Grade A · 0.2% of 200K ctx

MCPpedia last refreshed this data 9h ago

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io.github.gridhra/atx-mcp is an MCP server that deterministic, non-generative image transform MCP server: reproducible recipes, immutable originals. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 89/100 on MCPpedia's security, maintenance and efficiency rubric.

Data

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

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

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What io.github.gridhra/atx-mcp does

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

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Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

89/100across 5 weighted dimensions

How we score →

0255075100

−11

Security

Maintenance

Efficiency

Documentation

Compatibility

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Security

OSV.dev

No known CVEs.

Checked atx-mcp against OSV.dev.

Inventory

Tools (9)

Click any tool to inspect its schema.

~357 tokens total

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Frequently Asked Questions

Is io.github.gridhra/atx-mcp safe to use?: io.github.gridhra/atx-mcp has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.gridhra/atx-mcp?: io.github.gridhra/atx-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.gridhra/atx-mcp do?: io.github.gridhra/atx-mcp provides 9 tools: perspective, Deterministic, Idempotent, Install, Layers and 4 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.gridhra/atx-mcp?: io.github.gridhra/atx-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is io.github.gridhra/atx-mcp actively maintained?: io.github.gridhra/atx-mcp is actively maintained - last commit was 5 days ago.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

atx-mcp

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

Eye-catch image for an article

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

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.

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.

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.

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.

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.

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.

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. detect_text_blocks 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.

Verification and accountability

"Show me this image before and after the edits, side by side

Frequently Asked Questions

Is io.github.gridhra/atx-mcp safe to use?

io.github.gridhra/atx-mcp has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install io.github.gridhra/atx-mcp?

io.github.gridhra/atx-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.gridhra/atx-mcp do?

io.github.gridhra/atx-mcp provides 9 tools: perspective, Deterministic, Idempotent, Install, Layers and 4 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.gridhra/atx-mcp?

io.github.gridhra/atx-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is io.github.gridhra/atx-mcp actively maintained?

io.github.gridhra/atx-mcp is actively maintained - last commit was 5 days ago.

atx-mcp

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

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

Eye-catch image for an article

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

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.

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.

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.

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.

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.

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.

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. detect_text_blocks 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.

Verification and accountability

"Show me this image before and after the edits, side by side