# AlbumentationsX MCP

> Use this tool when you need to streamline and validate image augmentation pipelines, and ensure reproducibility of machine learning models. It solves problems related to transform discovery, pipeline validation, and preview rendering, providing a standardized interface for inputting pipeline specs and outputting validated and reproducible configurations. Ideal for use cases where deterministic and consistent data augmentation is crucial, such as in computer vision and deep learning applications.

Canonical page: https://skillsregistry.net/skills/dkosarevsky-albu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dkosarevsky-albu-mcp

## Description

Model Context Protocol server for discovering transforms, validating augmentation pipelines, rendering deterministic previews, and exporting reproducible pipeline specs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bbab3m412f)
- **Repository:** <https://github.com/dKosarevsky/albu-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": "dkosarevsky-albu-mcp"
    }
  }
}
```

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