# albumentations-mcp

> Use this tool when you need to augment images using natural language descriptions, such as applying transforms like blur and rotation. It solves problems like automating image preprocessing for machine learning models and generating diverse image datasets from plain English instructions. The tool takes in English descriptions and image inputs, and outputs transformed images, making it ideal for use cases where manual image editing is time-consuming or impractical.

Canonical page: https://skillsregistry.net/skills/ramsi-k-albumentations-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ramsi-k-albumentations-mcp

## Description

Enables natural language image augmentation via the MCP protocol, using Albumentations to apply transforms like blur and rotation from plain English descriptions.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fryuyiwa3o)
- **Repository:** <https://github.com/Ramsi-K/albumentations-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": "ramsi-k-albumentations-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ramsi-k-albumentations-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ramsi-k-albumentations-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
