Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
AlbumentationsX MCP for batch previews, compare preview runs, segmentation masks, and exports.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
ALBU_MCP_ALLOWED_ROOTS, ALBU_MCP_ARTIFACT_ROOT, ALBU_MCP_MAX_PREVIEW_RUNSYou need
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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-mcpFill in the empty values before running it.
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.
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.
ALBU_MCP_ALLOWED_ROOTS envALBU_MCP_ARTIFACT_ROOT envALBU_MCP_MAX_PREVIEW_RUNS envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account dKosarevsky, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.21.1) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Aiterm MCP
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Persistent terminals and one launcher for Claude, Codex, Grok, Cursor, and Antigravity harnesses.
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.
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
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.
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.
torch.Tensor pipeline validation and guarded Python handoff.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.
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.