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

Writing Style Checker

by theserverlessdevversion 2.2.2i★ 9iComputer or cloud
Registry nameio.github.theserverlessdev/wsc

How to install

What it does

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

  • Connects Computer or cloud
  • Account or key No key needed
  • Category Search & AI memory

Install

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

Passed 5/5 checks · What you ask goes through the maker’s server (wsc.theserverless.dev) · ✓ Commands checked Nov 13, 2026

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude · about 2 min

No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it

  1. Open Claude’s Connectors page

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. Click “Add” → “Custom” → “Web” and fill in these 2 fields

    Copy each value into the field with the same name in Claude, then click Continue

    Name · NameWriting Style Checker
    Remote MCP server URL · Addresshttps://wsc.theserverless.dev/mcp

    Click Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add

  3. Turn it on in a chat

    +ConnectorsWriting Style Checker

  4. Try it

    Use Writing Style Checker and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Writing Style Checker or shows a Writing Style Checker tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with ChatGPT, depending on your plan

Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only

  1. Open ChatGPT’s add-MCP page on the web

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. Fill in the name and address

    Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin

    Name · NameWriting Style Checker
    Connection · Addresshttps://wsc.theserverless.dev/mcp
  3. Pick Writing Style Checker in a chat

    Start a new chat and pick Writing Style Checker from your plugins before typing

  4. Try it

    Use Writing Style Checker and tell me what you can do for me, then show me one thing

    ✓ If ChatGPT says it is using Writing Style Checker or shows a Writing Style Checker tool in the answer, you are connected

Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Claude Code · about 2 min

No key, nothing to install

  1. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  2. Paste this command and press Enter

    claude mcp add --transport http --scope user wsc https://wsc.theserverless.dev/mcp
  3. Type /mcp in Claude Code

    You should see Writing Style Checker listed as connected

  4. Try it

    Use Writing Style Checker and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Writing Style Checker or shows a Writing Style Checker tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor · about 2 min

No key, nothing to install

  1. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  2. Open the AI chat in Cursor in Agent mode

  3. Try it

    Use Writing Style Checker and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Writing Style Checker or shows a Writing Style Checker tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code · about 2 min

No key, nothing to install

  1. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  2. Open the AI chat in VS Code in Agent mode

  3. Try it

    Use Writing Style Checker and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Writing Style Checker or shows a Writing Style Checker tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

Address for apps that connect over the web

Addresshttps://wsc.theserverless.dev/mcp

JSON settings are under “For developers” below

Stuck? Ask people who use Writing Style Checker💬 Discussion →
For developers: Terminal commands and JSON settings

Over the web

Claude Code

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

{
  "servers": {
    "wsc": {
      "type": "http",
      "url": "https://wsc.theserverless.dev/mcp"
    }
  }
}

Installed on your computer

Claude Code

claude mcp add --scope user wsc -- npx -y wsc-mcp

Claude Desktop (claude_desktop_config.json)

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

Cursor (~/.cursor/mcp.json)

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

VS Code (mcp.json)

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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
75/wk
Connection
Computer or cloud
Transport
stdio, streamable-http
Latest versioni
2.2.2
Published to registryi
Jul 14, 2026
Code last changedi
Nov 11, 2026
Maker
theserverlessdev
Packages
npm: wsc-mcp
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Tool names and descriptions exactly as the server reported them on Nov 13, 2026. The maker wrote them, not us; we show them as plain text.

  • check_text

    Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-

  • fix_duplicates

    Remove duplicate adjacent words (case-insensitive, including across line breaks) and return the cleaned text plus the list of words that were removed. Read-only with no side effects: the fix is returned in the response, nothing is written anywhere. Use after check_text reports du

  • list_word_lists

    Return every detector word/phrase list with its entry count, config key, and sample entries, plus a link to the full browsable library. Read-only, takes no parameters, and returns the same catalog for a given release. Use it to see what the detectors match before tuning a config

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 13, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account theserverlessdev, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 2 days ago

  • ✓ Pass

    Has a licence

    Uses MIT

  • ✓ Pass

    Endpoint responds

    Responded in 103 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 3 tool descriptions and found no hidden instructions to the AI

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

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Compared with others in Search & AI memoryi

  • More stars than 91% of the other 6045 servers in this category
  • Published to the registry more recently than 21% of the other 6045 servers in this category
  • Basic checks equal to or better than 100% of the other 6045 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 5 of 5 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 2 days ago, 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 on the web (full MCP on Business and above; Pro read-only).

What can I use instead?

In the same category: Context7, Codebase Memory, Ruflo

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

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

by upstashWidely used↓ 1.2M/wk★ 64.7KUpdated yesterday

Computer or cloud

Codebase Memory

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

by DeusDataWidely used↓ 16.8K/wk★ 48.6KUpdated 27 days ago

Runs on your computer

Ruflo

Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.

by ruvnetWidely used↓ 74.3K/wk★ 81.6K Stars for the whole repoUpdated today

Runs on your computer

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