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Sizecheck

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/sizecheck

Install

Overview

Description from the maker (original English)

PR blast-radius score from changed files and exports, with per-directory split suggestions.

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).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx 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": {
    "sizecheck": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/sizecheck",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add sizecheck -- npx -y @reneturcios/sizecheck mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "sizecheck": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/sizecheck",
        "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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "sizecheck": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/sizecheck",
        "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.

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 32531 servers in this category
  • Published to the registry more recently than 89% of the other 32531 servers in this category
  • Basic checks equal to or better than 100% of the other 32531 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 Sizecheck 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 (0.1.0) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

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

Alternatives

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

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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.

sizecheck

A pull request can be three lines in one file or three thousand lines spread across half the repository, and the review burden is not the same. sizecheck takes the list of changed files — each file's path, the lines it adds and deletes, and optionally how many of its exported symbols changed — and turns it into one blast-radius report:

  • Score and risk — a single integer score: total churn (lines added plus lines deleted), plus 25 points for every exported symbol touched, plus 10 points for every extra top-level directory beyond the first. The score maps to a risk band: under 100 is small, 100–399 is medium, 400–999 is large, and 1000 or more is huge.
  • Totals — the file count and the summed lines added, lines deleted, churn, and exports changed, so the score can always be checked against its inputs.
  • Per-directory spread — the change grouped by top-level directory (a file with no directory in its path counts under "(root)"), sorted by churn descending and then directory name ascending.
  • Hottest files — the five highest-churn files, ties broken by path ascending, so the files that deserve the closest read surface first.
  • Split suggestions — when the risk is large or huge, every directory group except the largest is listed as a part of the change that could land separately. Small and medium changes, and changes confined to a single directory, get no suggestions.

Every changed file needs a unique, non-empty path and non-negative integer added and deleted counts. exports_changed is optional (default 0) and must be a non-negative integer when given; kind is optional (default "code") and must be one of "code", "test", "docs", "config", or "other" when given — it is validated but does not affect the score. Invalid input is a validation error naming the offending path (for example files[0].added must be an integer >= 0) and no partial report is produced. The computation is pure and local: no network, no configuration, no files read beyond the input you pass in.

CLI

npx @reneturcios/sizecheck score --input args.json

npx @reneturcios/sizecheck --version

args.json contains the full arguments object:

{

"files": [ { "path": "src/api.ts", "added": 120, "deleted": 30, "exports_changed": 3 }, { "path": "src/api.test.ts", "added": 80, "deleted": 10, "kind": "test" }, { "path": "docs/api.md", "added": 25, "deleted": 5, "kind": "docs" } ] }

The report is printed as JSON:

{

"score": 355, "risk": "medium", "files_count": 3, "added": 225, "deleted": 45, "churn": 270, "exports_changed": 3, "by_directory": [ { "directory": "src", "files": 2, "churn": 240 }, { "directory": "docs", "files": 1, "churn": 30 } ], "hottest_files": [ { "path": "src/api.ts", "churn": 150 }, { "path": "src/api.test.ts", "churn": 90 }, { "path": "docs/api.md", "churn": 30 } ], "split_suggestions": [] }

The score is 270 churn + 25 × 3 exports + 10 × 1 extra directory = 355.

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.

MCP server

npx -y @reneturcios/sizecheck mcp

MCP client config:

{

"mcpServers": { "sizecheck": { "command": "npx", "args": ["-y", "@reneturcios/sizecheck", "mcp"] } } }

Tools
  • score_blast_radius — Score a pull request's blast radius from its changed files.
  • files (array, required, at least one) — files as {path, added, deleted, exports_changed?, kind?} objects; path is unique across the set

Returns {score, risk, files_count, added, deleted, churn, exports_changed, by_directory, hottest_files, split_suggestions}.

Docker

docker run -i ghcr.io/cloudcorprecords/sizecheck

docker run --rm -v "$PWD:/w" ghcr.io/cloudcorprecords/sizecheck score --input /w/args.json

Development

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

License

MIT — Copyright (c) 2026 Rene Turcios

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