AlbumentationsX MCP for batch previews, compare preview runs, segmentation masks, and exports.
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Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-dkosarevsky-albu-mcp-2": {
"args": [
"-y",
"skills"
],
"command": "npx"
}
}
}Are you the author?
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Model Context Protocol server for AlbumentationsX: inspect datasets, preview augmentations, refine them with visual feedback, and export reproducible pipelines.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'skills' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked skills against OSV.dev.
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Model Context Protocol server for AlbumentationsX: inspect datasets, preview augmentations, refine them with visual feedback, and export reproducible pipelines.

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.
Download the latest albumentationsx-mcp.mcpb, install it from Settings -> Extensions -> Advanced settings, and select separate image and artifact directories.
Run the published server with bounded local access:
uvx --from albumentationsx-mcp albumentationsx-mcp \
--allowed-root /absolute/path/to/images \
--artifact-root /absolute/path/to/albu-artifacts
full is the v1.x default. Add --capability-profile review for a preview-focused tool surface; see
configuration. Copyable host configurations are in the install guide.
The repository also contains a native Codex plugin bundle. npx skills add dKosarevsky/albu-mcp installs agent guidance, not the MCP server.
After connecting the server, ask your host:
Use AlbumentationsX MCP on /absolute/path/to/images.
Run the smoke check, start with a low-intensity pipeline, validate the request,
render one variant per image, and show me the contact sheet before exporting anything.
albumentationsx://examples/client-smoke; if resource reads are unavailable, call get_workflow_example with example_id="client-smoke".run_host_smoke_check; continue only when preview_ready is true, using its preview_request_template.validate_preview_request before rendering and compare preview runs before accepting a candidate.too_noisy:high or exposure_too_weak:medium, then export the final pipeline.If setup fails, read albumentationsx://diagnostics/guide and call diagnose_environment for bounded remediation actions.
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.