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PopNx MCPMCP servers for people who use AI · explained in plain words

Skimless

by pedroofrancaaversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.pedroofrancaa/skimless

Install

Overview

Description from the maker (original English)

Reading order for big pull requests: what to read first, what can wait. Offline, no model.

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: Developer tools

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": {
    "skimless": {
      "command": "npx",
      "args": [
        "-y",
        "skimless",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add skimless -- npx -y skimless mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "skimless": {
      "command": "npx",
      "args": [
        "-y",
        "skimless",
        "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": {
    "skimless": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "skimless",
        "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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account pedroofrancaa, 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 Developer toolsi

  • More stars than 0% of the other 4898 servers in this category
  • Published to the registry more recently than 50% of the other 4898 servers in this category
  • Basic checks equal to or better than 100% of the other 4898 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 Skimless 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 (0.1.2) reached the registry last month.

Which apps can use it?

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

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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

GitHub

by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

Computer or cloud★ 34,245MITUpdated 4 days ago
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Desktop Commander

by wonderwhy-er

MCP server for terminal commands, file operations, and process management

Runs on your computer★ 10,225MITUpdated 16 days ago
Install

Cloudflare MCP

by cloudflare

Cloudflare MCP servers

Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago
Install

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.

Skimless

English · Português

The reading order for pull requests that got too big.

Skimless turns a diff into a packet: what to read first, which files can wait, and which lines deserve a human. It runs on your machine. It does not call a model, post a comment, or phone home.

Zero runtime dependencies. Node.js 22 or newer. A CLI, a GitHub Action, a library, and an MCP server for AI agents. Packets in English and Portuguese.

npx skimless demo
skimless  Do not skim this one

14 files · +86 −8 · about 2 min. 5 high-priority findings. First pass: index.ts, fixture.ts, verify.ts.

1 src/api/index.ts Public export changed 2 src/webhooks/fixture.ts Secret-shaped string added 3 src/webhooks/verify.ts Signature compared with == 4 .github/workflows/release.yml Workflow grants write permissions 5 src/billing/invoice.ts Billing path changed 6 test/webhooks/verify.test.ts Test file deleted 7 migrations/2026_09_23_api_keys.sql 8 src/billing/charge.ts 9 package.json Dependency manifest changed 10 Dockerfile 11 test/billing/charge.test.ts Can wait 12 docs/webhooks.md Can wait 13 package-lock.json Can wait 14 src/generated/types.ts Can wait

The sample verify.ts calls timingSafeEqual on a buffer compared with itself. Skimless has no rule for that. It puts the file third, under the live-shaped key, so a person sees it. That is the product: a path through the diff, not a verdict.

English packet · Pacote em português · A real diff: Express 4.21.2 → 5.0.0

Why this exists

Pull requests written with an agent get big. The reviewer opens the first file, gets tired, and approves the lockfile with the same glance they would give a migration. Skimless tells you where skimming is safe and where it is not: the public API first, the sharp edges next, the noise at the end. The score is a reading priority. A quiet packet does not prove the diff is safe.

Run it

npx skimless demo

npx skimless demo --lang pt --format html --out skimless.html npx skimless review --base origin/main --format all --out skimless --fail-on high

Or install it once with npm install -g skimless and call skimless.

--format all writes skimless.html, skimless.md, and skimless.json. Secret-shaped strings are redacted unless you pass --no-redact. --fail-on defaults to none locally. In CI, use high.

On a generated 2,000-file diff, a review packet comes back in about 100 ms on a laptop. npm run bench prints the number for your machine.

import { redactPacket, reviewDiff } from "skimless";

const packet = redactPacket(reviewDiff(patch, { order: "story", lang: "pt", budgetMinutes: 25 })); packet.readingOrder.forEach((stop) => console.log(stop.path, stop.reason));

What the packet is

  • A reading order. story is the default: API and types, then auth, signing, billing, migrations, and CI, then manifests, then the rest, then tests, docs, lockfiles, and generated code. A high finding jumps its file up into the sharp band. risk sorts by score alone.
  • Findings with the rule id attached. Twenty-one rules, each one a sentence, covering JavaScript, TypeScript, Python, Ruby, Go, PHP, Java, Kotlin, Rust, and C#, plus GitHub Actions, GitLab CI, and other runners. See docs/rules.md.
  • An HTML file you can attach, a Markdown comment, and JSON for whatever you already run.

Copy examples/skimless.config.json to skimless.config.json to set the budget, ignore globs, and the CI failure level.

CI

- uses: actions/checkout@v4

with: fetch-depth: 0

  • uses: pedroofrancaa/skimless@v1 with: base: origin/${{ github.base_ref }} fail-on: high

The action needs no token and posts no comment. The reading order and findings land in the job summary, on the pull request's Checks page. It passes inputs through the environment, then to git diff as arguments, never stitched into a shell string. docs/ci.md has the full workflow, every input, and a GitLab CI job.

Use it from an agent

skimless mcp is an MCP server. Claude Code, Cursor, VS Code, and other agents can ask for the reading order before they review a change, then read the files in that order.

claude mcp add skimless -- npx -y skimless mcp

Skimless still does not call a model. It serves one. Secret-shaped strings are always redacted in MCP responses, so a live key in the diff never reaches the agent's context. docs/mcp.md has the setup for each client, the tool arguments, and prompts that work.

What it will not do

  • It will not execute the diff.
  • It will not call a model, and it will not pretend a heuristic is one. Agents can call Skimless; Skimless does not call them.
  • It will not catch every bug. The self-compare in the sample is the example we keep on purpose.
  • A quiet label is not an approval.

Development

npm install

npm test npm run check node --experimental-strip-types src/cli.ts demo

Day to day, the CLI runs the TypeScript source directly. npm run build emits dist/, which is what npm ships.

Rules, reading order, and the library surface are described in docs/. The contributor notes are in CONTRIBUTING.md. The project is MIT, in GOVERNANCE.md terms: one maintainer at the start, decisions in the open, no pretended community.

License

MIT

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