Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Dockerfile layer and waste analyzer: layer sizes biggest first, with deterministic waste 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.
You need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"layercheck": {
"command": "npx",
"args": [
"-y",
"@reneturcios/layercheck",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add layercheck -- npx -y @reneturcios/layercheck mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"layercheck": {
"command": "npx",
"args": [
"-y",
"@reneturcios/layercheck",
"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": {
"layercheck": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/layercheck",
"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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These 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 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, Dechonet MCP
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
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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.
Every RUN, COPY, and ADD in a Dockerfile leaves a layer in the image, and layers are where image size and build-cache pain live. layercheck reads a Dockerfile as plain text — no docker daemon, no build — and reports what it finds:
\ continuations joined and blank lines and # comments skipped, each marked with whether it produces a layerdocker history reports them) — the total size and the layers ranked biggest first, so the fattest layer is the first thing you seeCONSECUTIVE_RUN — a RUN immediately after another RUN; the two could be one layerBROAD_COPY_EARLY — a COPY . . (or ./) placed before the dependency install step, busting its cache on every source changeAPT_LEFTOVER — apt-get install without removing /var/lib/apt/lists in the same RUNADD_LOCAL — ADD used for an ordinary local file, where COPY is the clearer instruction (remote URLs and archives are fine)If the supplied sizes do not line up with the number of layer-producing instructions, layercheck says so and names both counts instead of silently misaligning them.
npx @reneturcios/layercheck analyze --dockerfile Dockerfile
npx @reneturcios/layercheck analyze --dockerfile Dockerfile --sizes sizes.json npx @reneturcios/layercheck --version
sizes.json is a JSON array of numbers: the size in bytes of each layer-producing instruction, in Dockerfile order. The analysis is printed as one JSON object: {layer_count, total_size_bytes, instructions, biggest_layers, waste_flags}.
Exit codes: 0 on success, 1 on a runtime error (including an unreadable file or a sizes length mismatch), 2 on a usage error.
npx -y @reneturcios/layercheck mcp
MCP client config:
{
"mcpServers": { "layercheck": { "command": "npx", "args": ["-y", "@reneturcios/layercheck", "mcp"] } } }
analyze_dockerfile_layers — Analyze a Dockerfile's layers and flag wasted ones.dockerfile (string, required) — the Dockerfile textlayer_sizes (array of numbers, optional) — size in bytes of each layer-producing instruction, in Dockerfile order; its length must equal the number of layer-producing instructionsdocker run -i ghcr.io/cloudcorprecords/layercheck
docker run --rm -v "$PWD:/w" ghcr.io/cloudcorprecords/layercheck analyze --dockerfile /w/Dockerfile
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