DraftCheck AI-writing linter

Name: DraftCheck AI-writing linter
Author: kburrus64-max

by kburrus64-maxversion 0.1.1i★ –iRuns in the cloud

Registry nameio.github.kburrus64-max/slopscore

Install

Overview

Description from the maker (original English)

DraftCheck: flags AI-writing patterns in prose with fix hints. Deterministic linter, not a detector.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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 in the cloud
Transport: Streamable HTTP
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://slopscore-nine.vercel.app/mcp

Run this in your terminal

claude mcp add --transport http slopscore https://slopscore-nine.vercel.app/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "slopscore": {
      "url": "https://slopscore-nine.vercel.app/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": {
    "slopscore": {
      "type": "http",
      "url": "https://slopscore-nine.vercel.app/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.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://slopscore-nine.vercel.app/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 kburrus64-max, 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 18348 servers in this category
Published to the registry more recently than 59% of the other 18348 servers in this category
Basic checks equal to or better than 100% of the other 18348 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 DraftCheck AI-writing linter 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 33 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

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

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated 2 days ago

Install

好縮 Short

by gooonamee

Smart URL shortener: create, tag and track short links on s.gooo.name.

Runs in the cloudUpdated today

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.

DraftCheck

Formerly SlopScore. Same product, new name after a naming clash.

Find the patterns that make writing read as AI-generated, and fix them before you publish.

DraftCheck scans text for 20+ habits of machine-written prose: "it's not X, it's Y" contrasts, dramatic one-line closers, "let's dive in" openers, inflated significance ("a pivotal moment"), AI vocabulary ("delve", "seamless", "leverage"), em-dash overuse, bold-label bullet lists, and chatbot leftovers like "I hope this helps!". It returns a 0-100 score and points at every match with a short fix.

It's a linter, not a detector. It doesn't guess who wrote a text. It shows you the specific sentences readers will notice.

Web app (free, runs in your browser): https://slopscore-nine.vercel.app
Pattern guides with examples: https://slopscore-nine.vercel.app/patterns/

CLI

npx github:kburrus64-max/draftcheck README.md docs/

(Not on npm yet as draftcheck. The unscoped slopscore name on npm belongs to a different project. Install from GitHub: npm i -D github:kburrus64-max/draftcheck. The slopscore CLI bin remains as an alias.)

FAIL  71  Pure slop        docs/launch-post.md

1: Chatbot residue: "Great question" 3: Not X, but Y: "this isn't just a tool, it's" 3: Inflated significance: "marks a pivotal moment" ok 4 Reads human docs/install.md

Options:

flag	default	what it does
`--max`	40	exit 1 if any file scores above n
`--format text\	json\	github`	text	`github` prints annotations for Actions
`--ext`	.md,.mdx,.txt,.html,.rst	extensions to scan inside directories
`--ignore`	none	skip patterns, e.g. `dash,triad`
`--include-quoted`	off	also flag text inside double quotes (quoted examples are skipped by default)
`--min-words`	20	skip very short files

Code blocks, inline code, front matter, URLs and HTML tags are ignored, so READMEs with examples don't get flagged for their code. Read from stdin with -.

GitHub Action

name: DraftCheck

on: pull_request: paths: ["**/*.md", "docs/", "content/"] jobs: slop: runs-on: ubuntu-latest steps:

uses: actions/checkout@v4
uses: kburrus64-max/draftcheck@v1 with: paths: "docs content README.md" max: "40"

Each match shows up as an annotation on the changed line. The check fails when a file goes over max.

Agent skill

DraftCheck ships as an Agent Skill for Claude Code, Cursor, Codex and other agents that read SKILL.md files. The skill tells the agent to score its draft, rewrite only the flagged spans, and re-check:

npx skills add kburrus64-max/draftcheck

As a Claude Code plugin (skill plus the hosted MCP server), from inside Claude Code:

/plugin marketplace add kburrus64-max/draftcheck

/plugin install draftcheck@draftcheck

Cursor can load the same repo as a plugin through .cursor-plugin/plugin.json.

Prompt-only writing skills such as humanizer and no-ai-slop tell an agent what to avoid; DraftCheck gives it a deterministic check to run afterwards.

Library

import { analyze, PATTERNS } from "draftcheck";

const r = analyze("Great question! Let's dive in.", { ignoreQuoted: false }); r.score; // 0-100 r.label; // "Reads human" | "A little sloppy" | "Sloppy" | "Pure slop" r.matches; // [{ id, label, category, start, end, text, hint }]

No dependencies. Works in Node 18+ and the browser.

How scoring works

Each match has a strength. Strong tells (chatbot leftovers, not-X-but-Y, dramatic closers) count 3 points, medium tells 2, weak tells 1. Points are divided by text length (per 100 words, with a 100-word floor) and mapped to 0-100. Weak signals like a single em dash or one three-item list don't count unless stronger tells are also present, because careful human writers use them all the time.

The rules are regular expressions plus a sentence-shape check for rows of fragments. They are deterministic: the same text always gets the same score.

Limits

English only for now.
It flags patterns, not authorship. Plenty of human writing has a few of these, and a clean score doesn't prove a person wrote something.
The CLI skips text inside double quotes, so style guides can quote bad examples. The web app and API count quoted text unless you pass ignoreQuoted.

Hosted API

The web app has a free JSON API (POST /api/check, up to 5,000 characters), a URL scorer, and pay-per-call endpoints for longer documents and batches. See https://slopscore-nine.vercel.app/llms.txt.

Credits

The pattern list builds on Wikipedia's Signs of AI writing (WikiProject AI Cleanup) and two MIT-licensed agent skills: blader/humanizer and petergyang/no-ai-slop. The detection code and scoring here are original.

Notes on the rename

This project was formerly SlopScore. The GitHub repo is now kburrus64-max/draftcheck (old URL redirects). The MCP Registry namespace stays io.github.kburrus64-max/slopscore so the existing listing is not orphaned. Live site and MCP remote remain at https://slopscore-nine.vercel.app.

DraftCheck AI-writing linter

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

好縮 Short

README from the maker

DraftCheck

CLI

GitHub Action

Agent skill

Library

How scoring works

Limits

Hosted API

Credits

Notes on the rename

License