Skip to main content
ClaudeWave

MCP server for AlbumentationsX image augmentation workflows

MCP ServersOfficial Registry6 stars0 forksPythonAGPL-3.0Updated today
Install in Claude Code / Claude Desktop
Method: NPX · skills
Claude Code CLI
claude mcp add albu-mcp -- npx -y skills
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "albu-mcp": {
      "command": "npx",
      "args": ["-y", "skills"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Use cases

MCP Servers overview

# AlbumentationsX MCP

Model Context Protocol server for [AlbumentationsX](https://github.com/albumentations-team/AlbumentationsX): inspect datasets, preview augmentations, refine them with visual feedback, and export reproducible pipelines.

<!-- mcp-name: io.github.dKosarevsky/albu-mcp -->

[![CI](https://github.com/dKosarevsky/albu-mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/dKosarevsky/albu-mcp/actions/workflows/ci.yml)
[![PyPI](https://img.shields.io/pypi/v/albumentationsx-mcp)](https://pypi.org/project/albumentationsx-mcp/)
[![Python](https://img.shields.io/badge/python-3.10--3.13-blue)](pyproject.toml)
[![MCP Registry](https://img.shields.io/badge/MCP%20Registry-active-green)](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.dKosarevsky/albu-mcp)
[![skills.sh](https://skills.sh/b/dKosarevsky/albu-mcp)](https://skills.sh/dKosarevsky/albu-mcp)

![Baseline and adjusted AlbumentationsX preview contact sheets](https://raw.githubusercontent.com/dKosarevsky/albu-mcp/main/docs/assets/demo/comparison_contact_sheet.png)

Ask an MCP host for several robustness variants, reject an excessive result such as `too_noisy:high`, compare the adjusted batch previews, and export the accepted pipeline.

## Install

### Claude Desktop

[Download the latest `albumentationsx-mcp.mcpb`](https://github.com/dKosarevsky/albu-mcp/releases/latest/download/albumentationsx-mcp.mcpb), install it from **Settings -> Extensions -> Advanced settings**, and select separate image and artifact directories.

### Other MCP Hosts

Run the published server with bounded local access:

```bash
uvx --from albumentationsx-mcp albumentationsx-mcp \
  --allowed-root /absolute/path/to/images \
  --artifact-root /absolute/path/to/albu-artifacts
```

`run_first_preview` requires the default `full` or `dataset` capability profile. The smaller `review` profile uses the
explicit validate/render fallback in the usage guide, or you can restart with `dataset` or `full`; see
[configuration](docs/CONFIGURATION.md). Copyable host configurations are in [the install guide](docs/INSTALL.md).
The repository also contains a native Codex plugin bundle. `npx skills add dKosarevsky/albu-mcp` installs agent guidance, not the MCP server.

## First Preview

After connecting the server, ask your host:

```text
Run the host smoke check. If preview_ready is true, call run_first_preview for /absolute/path/to/images with low
intensity and at most 8 images. Show me the contact sheet. When I mention a specific result, call
trace_preview_variant before adjusting it.
```

`run_host_smoke_check` returns `preview_ready` and a `preview_request_template`. If resource reads are unavailable, call
`get_workflow_example` with `example_id="client-smoke"`.

Follow the [First 10 Minutes guide](docs/FIRST_10_MINUTES.md). Detailed guided and advanced workflows, including the
explicit `validate_preview_request` fallback, batch previews, and how to compare preview runs, are in
[Usage](docs/USAGE.md). Give concrete feedback such as `too_noisy:high` or `exposure_too_weak:medium` before accepting a
result.

If setup fails, read `albumentationsx://diagnostics/guide` and call `diagnose_environment` for bounded remediation actions.

## Capabilities

- Transform discovery, schemas, recipes, and pipeline validation.
- Classification, detection, segmentation, OCR, bbox, mask, keypoint, and dataset-quality workflows.
- Deterministic previews, contact sheets, annotation overlays, comparison, ranking, and reports.
- Interactive MCP Apps review with a text-only fallback for other hosts.
- Structured feedback, tuning sessions, and Python, JSON, or YAML export.
- Stable agent workflow resources, prompts, diagnostics, and reviewed contract snapshots.

The server does not execute arbitrary Python, fetch remote images, overwrite datasets, or train models. Reads are restricted by `--allowed-root`; generated files stay under `--artifact-root`.

## Integrations

- [Official Albumentations MCP guide](https://albumentations.ai/docs/integrations/mcp/)
- [Official MCP Registry entry](https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.dKosarevsky/albu-mcp)
- [skills.sh agent skill](https://skills.sh/dKosarevsky/albu-mcp)
- [Upstream documentation PR](https://github.com/albumentations-team/AlbumentationsX/pull/289)

## Documentation

- [Install and host configuration](docs/INSTALL.md)
- [Runtime settings and capability profiles](docs/CONFIGURATION.md)
- [First 10 minutes](docs/FIRST_10_MINUTES.md)
- [Usage](docs/USAGE.md) and [recipes](docs/RECIPES.md)
- [MCP Apps review](docs/MCP_APPS_REVIEW.md) and [compatibility policy](docs/COMPATIBILITY.md)
- [Documentation index](docs/INDEX.md)
- [CHANGELOG.md](CHANGELOG.md)
- [server.json](server.json): public MCP Registry metadata.

## Development

```bash
uv sync --all-extras --dev
uv run pytest
uv run ruff check .
uv run ruff format --check .
uv run ty check
```

Licensed under [AGPL-3.0-or-later](LICENSE).
agent-skillsagent-toolsaiai-agentsai-toolsalbumentationsalbumentationsxaugmentationcomputer-visionimage-augmentationmcpmcp-servermodel-context-protocolpythonskills-sh

What people ask about albu-mcp

What is dKosarevsky/albu-mcp?

+

dKosarevsky/albu-mcp is mcp servers for the Claude AI ecosystem. MCP server for AlbumentationsX image augmentation workflows It has 6 GitHub stars and was last updated today.

How do I install albu-mcp?

+

You can install albu-mcp by cloning the repository (https://github.com/dKosarevsky/albu-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is dKosarevsky/albu-mcp safe to use?

+

dKosarevsky/albu-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains dKosarevsky/albu-mcp?

+

dKosarevsky/albu-mcp is maintained by dKosarevsky. The last recorded GitHub activity is from today, with 0 open issues.

Are there alternatives to albu-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy albu-mcp to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

Maintain this repo? Add a badge to your README

Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.

Featured on ClaudeWave: dKosarevsky/albu-mcp
[![Featured on ClaudeWave](https://claudewave.com/api/badge/dkosarevsky-albu-mcp)](https://claudewave.com/repo/dkosarevsky-albu-mcp)
<a href="https://claudewave.com/repo/dkosarevsky-albu-mcp"><img src="https://claudewave.com/api/badge/dkosarevsky-albu-mcp" alt="Featured on ClaudeWave: dKosarevsky/albu-mcp" width="320" height="64" /></a>

More MCP Servers

albu-mcp alternatives