Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Actions artifact size tracker over time, per workflow: growth deltas and bloat flags.
These three are never merged into one score: opinions, measurements and popularity are different things.
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.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"artifactbloat": {
"command": "npx",
"args": [
"-y",
"@reneturcios/artifactbloat",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add artifactbloat -- npx -y @reneturcios/artifactbloat mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"artifactbloat": {
"command": "npx",
"args": [
"-y",
"@reneturcios/artifactbloat",
"mcp"
]
}
}
}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": {
"artifactbloat": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/artifactbloat",
"mcp"
]
}
}
}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.
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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 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, 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 (0.1.0) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Your CI artifacts quietly grow a few percent every week — until a workflow that used to upload a slim bundle is shipping something enormous and nobody can say when it happened. artifactbloat takes dated snapshots of artifact sizes, groups them per workflow, and shows the growth in plain numbers:
null when the first total is zero, so a workflow that started empty is never divided by zero)growth_flagged when anything is flagged, steady otherwisenull on either side when the artifact did not exist there (a new artifact, a removed one, or one seen only in between), and the byte delta when both sides existThe computation is pure and local: no network, no configuration, no files read beyond the snapshots you pass in. Invalid input — a missing snapshot list, a snapshot without a workflow, a negative size, the same workflow captured twice on one date, or the same artifact twice in one snapshot — is rejected with an error naming the offending path, and no partial report is produced.
npx @reneturcios/artifactbloat track --input args.json
npx @reneturcios/artifactbloat --version
args.json contains the full arguments object:
{
"snapshots": [ { "workflow": "build", "date": "2026-01-01", "artifacts": [ { "name": "app-bundle", "size_bytes": 1048576 }, { "name": "source-maps", "size_bytes": 262144 } ] }, { "workflow": "build", "date": "2026-02-01", "artifacts": [ { "name": "app-bundle", "size_bytes": 1572864 }, { "name": "source-maps", "size_bytes": 262144 } ] } ], "growth_threshold_percent": 20 }
growth_threshold_percent is optional and defaults to
Exit codes: 0 on success, 1 on a runtime error (including an unreadable or invalid input file, or invalid input), 2 on a usage error.
npx -y @reneturcios/artifactbloat mcp
MCP client config:
{
"mcpServers": { "artifactbloat": { "command": "npx", "args": ["-y", "@reneturcios/artifactbloat", "mcp"] } } }
track_artifact_sizes — Track Actions artifact sizes over time, per workflow.snapshots (array, required, at least one) — snapshots as {workflow, date, artifacts} objects, where each artifact is {name, size_bytes} and date is the capture day, YYYY-MM-DDgrowth_threshold_percent (number, optional, >= 0, default 20) — flag workflows whose total grew by at least this percent from first to last snapshotReturns {workflow_count, total_first_bytes, total_last_bytes, workflows, flagged_workflows, verdict}.
docker run -i ghcr.io/cloudcorprecords/artifactbloat
docker run --rm -v "$PWD:/w" ghcr.io/cloudcorprecords/artifactbloat track --input /w/args.json
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (pure local, no network) npm run dev # run the CLI from source
MIT — Copyright (c) 2026 Rene Turcios