OpenSEO
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Prose linter + AI-slop detector: weasel words, passive voice, hedging, and research-cited AI tells
选择你使用的 AI 应用,然后复制设置。
通过 5/5 项检查 · 你的提问会经过开发者的服务器(wsc.theserverless.dev) · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
Writing Style Checkerhttps://wsc.theserverless.dev/mcp在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
+ConnectorsWriting Style Checker
用 Writing Style Checker 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Writing Style Checker,或回答中出现 Writing Style Checker 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
能否连接 ChatGPT 取决于方案
完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页
Plugins+Add custom MCP server
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
Writing Style Checkerhttps://wsc.theserverless.dev/mcp开启新聊天,输入前先从插件列表中选择 Writing Style Checker
用 Writing Style Checker 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 Writing Style Checker,或回答中出现 Writing Style Checker 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --transport http --scope user wsc https://wsc.theserverless.dev/mcp应能看到 Writing Style Checker 在列表中并显示已连接
用 Writing Style Checker 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Writing Style Checker,或回答中出现 Writing Style Checker 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
用 Writing Style Checker 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Writing Style Checker,或回答中出现 Writing Style Checker 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
用 Writing Style Checker 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Writing Style Checker,或回答中出现 Writing Style Checker 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://wsc.theserverless.dev/mcpJSON 设置在下方“开发者专用”中
Claude Code
claude mcp add --transport http --scope user wsc https://wsc.theserverless.dev/mcpCursor (~/.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"
}
}
}Claude Code
claude mcp add --scope user wsc -- npx -y wsc-mcpClaude 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"
]
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
工具名称和描述与服务器在 2026年11月15日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
check_textAnalyze 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_duplicatesRemove 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_listsReturn 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
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月15日
注册名称已通过 GitHub 账户 theserverlessdev 验证,该账户拥有此仓库
代码最后更新于4天前
使用 MIT
在 189 毫秒内响应(HTTP 200)
无需登录
已读取 3 个工具描述,未发现针对 AI 的隐藏指令
OSV.dev 中没有 wsc-mcp@2.2.2 的记录
只检查这个版本的包本身,不包括所有依赖 · 检查于 2026年11月15日
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 5 项适用的基础检查中通过了 5 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于4天前,最新版本(2.2.2)于4个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
同一分类中有:OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs
同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Mock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.
Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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)
wsc-mcp on npmwsc-lint::warning annotations.wscrc.json filesWSC 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.
| Detector | Items | Description |
|---|---|---|
| Weasel Words | 95 words/phrases | Vague terms like "very", "basically", "arguably", "numerous" |
| Passive Voice | 260 irregular verbs | Auxiliary verbs + past participles (regular -ed + irregular) |
| Duplicate Words | — | Adjacent repeated words across whitespace, case-insensitive |
| Long Sentences | threshold: 30 words | Sentences exceeding a configurable word count |
| Nominalizations | 245 word pairs | Nouns replaceable with verbs ("utilization" → "use") |
| Hedging | 100 phrases | Phrases that weaken assertions ("I think", "it seems") |
| Filler Adverbs | 139 words | Adverbs adding emphasis without substance ("totally", "utterly") |
| AI Tells | 98 words (+111 inflected forms) + 83 phrases + 12 structural patterns | Words, 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.
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.
POST /api/checkAnalyze 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/checkReturns API documentation as JSON.
GET /api/detectorsReturns the list of all 8 detectors with descriptions, configurability, and word counts.
GET /healthRuns a smoke test with known text and returns {"status":"healthy"} or 503.
Limits: Max 100,000 characters per request. CORS enabled for all origins.
The Writing Style Checker is available as an MCP server, letting AI assistants check your writing directly.
| Tool | Description |
|---|---|
check_text | Analyze text for all 8 writing style issues. Accepts optional config. |
fix_duplicates | Remove duplicate adjacent words and return cleaned text |
list_word_lists | Return info about all detector word lists |
check_file | *(Local only)* Read a file from disk and analyze it. Auto-discovers .wscrc.json. |
Connect any MCP client to the hosted server - no installation required.
{
"mcpServers": { "writing-style-checker": { "type": "url", "url": "https://wsc.theserverless.dev/mcp" } } }
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.
Check files from the command line.
# Check all markdown files
npx wsc-lint check "**/*.md"
echo "The code was written very quickly." | npx wsc-lint check --stdin
npx wsc-lint check "**/*.md" --format json
npx wsc-lint check "**/*.md" --format github
npx wsc-lint init
See the wsc-lint README for full documentation.
- uses: theserverlessdev/wsc@v1
with: files: '**/*.md' max-warnings: 20 exclude: | CHANGELOG.md vendor/**
| Input | Default | Description |
|---|---|---|
files | **/*.md | Glob pattern for files to check |
config | — | Path to .wscrc.json config file |
max-warnings | unlimited | Max warnings before failing |
only-changed | false | On 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. |
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.
.
├── 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
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.
| Command | Description |
|---|---|
npm run dev | Start dev server |
npm run build | Build for production |
npm run check | Type check with svelte-check |
npm test | Run all 341 tests |
npm run test:coverage | Coverage report |
Deployed as a Cloudflare Worker at wsc.theserverless.dev.
npm run build
npx wrangler deploy
See CONTRIBUTING.md for development setup, testing, and pull request guidelines.
For substantial changes, please open an issue first.