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AlbumentationsX MCP

by dKosarevskyversion 1.21.1i★ –iRuns on your computer
Registry nameio.github.dKosarevsky/albu-mcp

Install

Overview

Description from the maker (original English)

AlbumentationsX MCP for batch previews, compare preview runs, segmentation masks, and exports.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: ALBU_MCP_ALLOWED_ROOTS, ALBU_MCP_ARTIFACT_ROOT, ALBU_MCP_MAX_PREVIEW_RUNS

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "albu": {
      "command": "uvx",
      "args": [
        "albumentationsx-mcp"
      ],
      "env": {
        "ALBU_MCP_ALLOWED_ROOTS": "your-value",
        "ALBU_MCP_ARTIFACT_ROOT": "your-value",
        "ALBU_MCP_MAX_PREVIEW_RUNS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add albu --env ALBU_MCP_ALLOWED_ROOTS=your-value --env ALBU_MCP_ARTIFACT_ROOT=your-value --env ALBU_MCP_MAX_PREVIEW_RUNS=your-value -- uvx albumentationsx-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "albu": {
      "command": "uvx",
      "args": [
        "albumentationsx-mcp"
      ],
      "env": {
        "ALBU_MCP_ALLOWED_ROOTS": "your-value",
        "ALBU_MCP_ARTIFACT_ROOT": "your-value",
        "ALBU_MCP_MAX_PREVIEW_RUNS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "albu": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "albumentationsx-mcp"
      ],
      "env": {
        "ALBU_MCP_ALLOWED_ROOTS": "your-value",
        "ALBU_MCP_ARTIFACT_ROOT": "your-value",
        "ALBU_MCP_MAX_PREVIEW_RUNS": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • ALBU_MCP_ALLOWED_ROOTS env
    Optional os.pathsep-separated allowlist of local roots that preview inputs and masks may be read from.
  • ALBU_MCP_ARTIFACT_ROOT env
    Optional local directory where generated preview artifacts and manifests are written.
  • ALBU_MCP_MAX_PREVIEW_RUNS env
    Optional retention limit for indexed preview runs. Defaults to 100.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account dKosarevsky, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18595 servers in this category
  • Published to the registry more recently than 20% of the other 18595 servers in this category
  • Basic checks equal to or better than 100% of the other 18595 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AlbumentationsX MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.21.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Aiterm MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

Runs on your computer

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

by desktop-commanderGrowing★ 211Updated 3 days ago

Runs in the cloud✓ desktopcommander.app

Aiterm MCP

Persistent terminals and one launcher for Claude, Codex, Grok, Cursor, and Antigravity harnesses.

by kiteponGrowing↓ 4.2K/wkUpdated today

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AlbumentationsX MCP

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.

Install

Claude Desktop

Download the latest 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:

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. 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.

First Preview

After connecting the server, ask your host:

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".

Try the classification robustness use case, or follow the First 10 Minutes guide. The validate_preview_request fallback, batch previews, and how to compare preview runs are in Usage. Use too_noisy:high or exposure_too_weak:medium, then optionally share one redacted loop through first-preview feedback. 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.
  • Runtime-aware CPU torch.Tensor pipeline validation and guarded Python handoff.
  • MCP 2026-07-28 plus legacy negotiation; stable agent workflow resources, diagnostics, and 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

Documentation

  • Install and host configuration
  • Runtime settings and capability profiles
  • First 10 minutes
  • First-preview feedback
  • Usage and recipes
  • CPU Tensor Compose validation and export
  • MCP Apps review and compatibility policy
  • Documentation index
  • CHANGELOG.md
  • server.json: public MCP Registry metadata.

Development

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.

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