gridhra/atx-mcp
by Various
Deterministic, non-generative image transform MCP server for AI agents — straighten, crop, mask, layer, and encode with reproducible recipes and immutable originals.
MCP
gridhra/atx-mcp
Added 16 Sept 2026
Overview
Deterministic, non-generative image transform MCP server for AI agents. It provides straighten, crop, mask, layer, and encode operations using reproducible recipes and immutable originals.
Best for
Best for
Developers building AI agents that need reliable, repeatable image transforms without generative noise.
Use cases
- Straighten and crop images programmatically
- Apply masking and layering to image assets
- Encode images with reproducible transformations
How to use
Tools exposed
list_operationsexplain_operationimport_assetinspect_imagedetect_tiltdetect_documentdetect_text_blocksgenerate_maskrender_previewapply_transformcompare_revisionslist_assetsexport_assetlinear_gradientradial_gradientluminosity_rangecolor_range
Notes
Deterministic, non-generative image transform MCP server for AI agents. It provides straighten, crop, mask, layer, and encode operations using reproducible recipes and immutable originals.
0 stars on GitHub. Last updated 2026-09-15. Licensed MIT.
Use cases
- Straighten and crop images programmatically
- Apply masking and layering to image assets
- Encode images with reproducible transformations
Pros
- Deterministic output with reproducible recipes
- Immutable originals preserve source data
- Rust implementation for performance
Cons
- No public stars yet, indicating limited adoption
- Non-generative, so cannot create or synthesize images
- Niche use case may require custom integration
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Deterministic output with reproducible recipes
- Immutable originals preserve source data
- Rust implementation for performance
Cons
- No public stars yet, indicating limited adoption
- Non-generative, so cannot create or synthesize images
- Niche use case may require custom integration
Pairs with
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