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Writing Style Checker

by theserverlessdevversion 2.2.2i★ –iComputer or cloud
Registry nameio.github.theserverlessdev/wsc

Install

Overview

Description from the maker (original English)

Prose linter + AI-slop detector: weasel words, passive voice, hedging, and research-cited AI tells

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.

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
  • 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 …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://wsc.theserverless.dev/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add --transport http wsc https://wsc.theserverless.dev/mcp

Or run it on your computer

claude mcp add wsc -- npx -y wsc-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "wsc": {
      "url": "https://wsc.theserverless.dev/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "wsc": {
      "command": "npx",
      "args": [
        "-y",
        "wsc-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": {
    "wsc": {
      "type": "http",
      "url": "https://wsc.theserverless.dev/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "wsc": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "wsc-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:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://wsc.theserverless.dev/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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account theserverlessdev, 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 Search & AI memoryi

  • More stars than 0% of the other 7233 servers in this category
  • Published to the registry more recently than 22% of the other 7233 servers in this category
  • Basic checks equal to or better than 100% of the other 7233 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 Writing Style Checker 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?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.2.2) reached the registry 4 months 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: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days 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.

Writing Style Checker

A prose linter and AI-slop detector. WSC finds AI tells — words, phrases, and sentence structures overrepresented in AI-generated text, each flag backed by a published corpus study. It also catches classic writing issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, and filler adverbs. Available as a web editor, HTTP API, MCP server, CLI, and GitHub Action.

[Live: wsc.theserverless.dev](https://wsc.theserverless.dev)

Features

  • Web Editor - Real-time highlighting with inline fix buttons for all 8 detectors
  • HTTP API - POST text with optional config, retrieve structured JSON responses
  • MCP Server (Remote) - Connect AI assistants via Streamable HTTP transport
  • MCP Server (Local) - Stdio-based server via wsc-mcp on npm
  • CLI - Check files from the command line via wsc-lint
  • GitHub Action - Run checks in CI with ::warning annotations
  • Configurable - Customize detectors with .wscrc.json files

What WSC is (and isn't)

WSC flags patterns that research on AI-generated text finds overrepresented, and cites a source for every flag. It does not, and cannot, prove authorship. Classifier-based detectors carry a documented false-accusation risk: a Stanford study found that seven of them misflagged 61% of essays written by non-native English speakers. WSC avoids that trap by design — every flag is a specific, explainable edit that improves the text no matter who, or what, wrote it.


Detection Rules

DetectorItemsDescription
Weasel Words95 words/phrasesVague terms like "very", "basically", "arguably", "numerous"
Passive Voice260 irregular verbsAuxiliary verbs + past participles (regular -ed + irregular)
Duplicate Words—Adjacent repeated words across whitespace, case-insensitive
Long Sentencesthreshold: 30 wordsSentences exceeding a configurable word count
Nominalizations245 word pairsNouns replaceable with verbs ("utilization" → "use")
Hedging100 phrasesPhrases that weaken assertions ("I think", "it seems")
Filler Adverbs139 wordsAdverbs adding emphasis without substance ("totally", "utterly")
AI Tells98 words (+111 inflected forms) + 83 phrases + 12 structural patternsWords, phrases, and sentence constructions overrepresented in AI-generated text (delve, rich tapestry, It's not just X — it's Y)

Word lists sourced from Matt Might's shell scripts and expanded with additional entries. AI tells draw on published corpus studies: Kobak et al. 2025 (Science Advances), Juzek & Ward 2025 (COLING), Liang et al. 2024 (Stanford), and Reinhart et al. 2025 (PNAS). Wikipedia's editor-maintained Signs of AI writing catalogue and AI-detection vendor reports round out the sources.


Configuration

Create a .wscrc.json to customize detectors. All tools (API, MCP, CLI) support it.

{

"$schema": "https://wsc.theserverless.dev/schema.json", "ignore": ["CHANGELOG.md", "docs/vendor/**"], "detectors": { "weaselWords": { "enabled": true, "add": ["synergy", "leverage"], "remove": ["very"] }, "longSentences": { "maxWords": 25 }, "adverbs": { "enabled": false } } }

Every field is optional. Missing fields use defaults. JSON Schema provides autocompletion in VS Code.

ignore is an array of glob patterns relative to the working directory. The GitHub Action uses the repository root. The CLI adds these patterns to its built-in **/node_modules/** and **/.git/** skips, together with the Action exclude input and the CLI --ignore flag.


API Usage

POST /api/check

Analyze text for writing style issues. Accepts optional config object.

curl -X POST https://wsc.theserverless.dev/api/check \

-H "Content-Type: application/json" \ -d '{"text":"The code was written very quickly."}'

Response:

{

"summary": { "total": 2, "weaselWords": 1, "passiveVoice": 1, "duplicateWords": 0, "longSentences": 0, "nominalizations": 0, "hedging": 0, "adverbs": 0 }, "issues": { "weaselWords": [{ "word": "very", "index": 21, "line": 1, "column": 22, "context": "..." }], "passiveVoice": [{ "phrase": "was written", "index": 9, "line": 1, "column": 10, "context": "..." }], "duplicateWords": [], "longSentences": [], "nominalizations": [], "hedging": [], "adverbs": [] }, "meta": { "characterCount": 34, "wordCount": 6, "sentenceCount": 1, "processingTimeMs": 2 } }

With config:

curl -X POST https://wsc.theserverless.dev/api/check \

-H "Content-Type: application/json" \ -d '{"text":"The code was written very quickly.", "config":{"detectors":{"weaselWords":{"enabled":false}}}}'

GET /api/check

Returns API documentation as JSON.

GET /api/detectors

Returns the list of all 8 detectors with descriptions, configurability, and word counts.

GET /health

Runs a smoke test with known text and returns {"status":"healthy"} or 503.

Limits: Max 100,000 characters per request. CORS enabled for all origins.


MCP Server

The Writing Style Checker is available as an MCP server, letting AI assistants check your writing directly.

Tools
ToolDescription
check_textAnalyze text for all 8 writing style issues. Accepts optional config.
fix_duplicatesRemove duplicate adjacent words and return cleaned text
list_word_listsReturn info about all detector word lists
check_file*(Local only)* Read a file from disk and analyze it. Auto-discovers .wscrc.json.
Remote MCP Server

Connect any MCP client to the hosted server - no installation required.

{

"mcpServers": { "writing-style-checker": { "type": "url", "url": "https://wsc.theserverless.dev/mcp" } } }

Local MCP Server (stdio)

Install via npm for local usage. Includes check_file for analyzing files on disk with auto-discovery of .wscrc.json.

npx wsc-mcp

Claude Desktop / Claude Code config:

{

"mcpServers": { "writing-style-checker": { "command": "npx", "args": ["wsc-mcp"] } } }

See the wsc-mcp npm page for full documentation.


CLI

Check files from the command line.

# Check all markdown files

npx wsc-lint check "**/*.md"

Read from stdin

echo "The code was written very quickly." | npx wsc-lint check --stdin

JSON output for scripting

npx wsc-lint check "**/*.md" --format json

GitHub Actions annotations

npx wsc-lint check "**/*.md" --format github

Create a config file

npx wsc-lint init

See the wsc-lint README for full documentation.


GitHub Action

- uses: theserverlessdev/wsc@v1

with: files: '**/*.md' max-warnings: 20 exclude: | CHANGELOG.md vendor/**

InputDefaultDescription
files**/*.mdGlob pattern for files to check
config—Path to .wscrc.json config file
max-warningsunlimitedMax warnings before failing
only-changedfalseOn a pull request, check changed files that match files. If none match, skip the check. Other events check files.
exclude—Glob patterns to skip. Separate with a comma or a new line. Adds to config ignore.

Privacy

The web editor runs in your browser - we never send text to any server. The API and MCP endpoints only process text you explicitly send to them.


Project Structure

.

├── src/ │ ├── core/ # Shared detection engine │ │ ├── detector.ts # 8 detection algorithms │ │ ├── words.ts # Word/phrase lists (800+ entries) │ │ ├── config.ts # Config types, merging, validation │ │ ├── config-node.ts # Node-only: file loading, discovery │ │ ├── analyzer.ts # Unified analyzeText() entry point │ │ └── index.ts # Public API exports │ ├── docs/ # Documentation content (Markdown files) │ ├── mcp/ │ │ └── handler.ts # MCP JSON-RPC 2.0 handler │ ├── lib/ │ │ ├── App.svelte # Main editor page component │ │ ├── stores/theme.ts # Theme store (light/dark/system) │ │ └── components/ # UI components (StatsBar, ConfigPanel, etc.) │ ├── routes/ │ │ ├── +layout.svelte # Shared layout (header, nav, footer) │ │ ├── api/check/+server.ts # HTTP API endpoint │ │ ├── mcp/+server.ts # MCP endpoint │ │ ├── health/+server.ts # Health check endpoint │ │ ├── docs/+page.svelte # Documentation page │ │ └── words/+page.svelte # Word library browser │ └── styles/ │ └── main.scss # Global styles (light + dark themes) ├── mcp-server/ # Standalone stdio MCP server (npm: wsc-mcp) ├── cli/ # CLI tool (npm: wsc-lint) ├── action/ # GitHub Action (composite) ├── tests/ # 341 tests across 18 files ├── static/ │ ├── schema.json # JSON Schema for .wscrc.json │ ├── llms.txt # AI/LLM discovery file │ └── llms-full.txt # Detailed LLM context ├── wrangler.toml # Cloudflare Workers config └── svelte.config.js # SvelteKit configuration


Local Development

git clone https://github.com/theserverlessdev/wsc.git

cd wsc npm install npm run dev

Visit http://localhost:5173. The API is at /api/check, MCP at /mcp, health at /health.

Commands
CommandDescription
npm run devStart dev server
npm run buildBuild for production
npm run checkType check with svelte-check
npm testRun all 341 tests
npm run test:coverageCoverage report

Deployment

Deployed as a Cloudflare Worker at wsc.theserverless.dev.

npm run build

npx wrangler deploy


Contributing

See CONTRIBUTING.md for development setup, testing, and pull request guidelines.

For substantial changes, please open an issue first.

Acknowledgements

License

MIT

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