# atx-mcp

> atx-mcp — gridhra-atx-mcp. Use this tool when you need to apply deterministic image transformations, such as straightening, cropping, and masking, to ensure reproducible results and preserve original images. It solves problems related to image preprocessing and data consistency, providing a reliable interface for AI agents to input images and output transformed and encoded results. Ideal for use cases requiring immutable originals and reproducible recipes, such as data preparation for machine learning models.

Canonical page: https://skillsregistry.net/skills/gridhra-atx-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gridhra-atx-mcp

## Description

Deterministic, non-generative image transform MCP server for AI agents — straighten, crop, mask, layer, and encode with reproducible recipes and immutable originals.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gridhra/atx-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gridhra-atx-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gridhra-atx-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gridhra-atx-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt