qsw-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@qsw-mcpread the webpage at https://example.com"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
qsw-mcp
Smart Doc MCP Server - 为 AI Agent 提供统一的文档读取能力
功能特性
read_url: 读取网页内容,返回标题、纯文本和 Markdown 格式(无登录状态)
read_url_browser: 使用浏览器读取网页(支持登录状态、Cookie、SPA 页面)
read_clipboard_image: 从系统剪贴板读取图片并识别文字(OCR),支持中英文等多种语言
安装
npm install
npm run buildPlaywright 浏览器安装(read_url_browser 需要)
npx playwright install chromium使用方法
在 Claude Desktop 中配置
编辑 Claude Desktop 配置文件:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
添加以下配置:
{
"mcpServers": {
"qsw-mcp": {
"command": "node",
"args": ["path/to/qswMCP/dist/index.js"]
}
}
}在 VSCode Agent 中配置
在 .vscode/settings.json 中添加:
{
"claude.mcpServers": {
"qsw-mcp": {
"command": "node",
"args": ["path/to/qswMCP/dist/index.js"]
}
}
}工具说明
read_url
读取网页内容(无登录状态)。
输入参数:
url(string): 要读取的网页 URL
输出示例:
{
"success": true,
"data": {
"title": "网页标题",
"content": "网页纯文本内容...",
"markdown": "# 网页标题\n\n网页 Markdown 内容...",
"url": "https://example.com",
"length": 1234
}
}read_url_browser
使用浏览器读取网页,支持登录状态、Cookie 和 SPA 页面。
输入参数:
url(string): 要读取的网页 URLwaitFor(number, 可选): 等待页面加载的时间(毫秒),默认 2000msuseExisting(boolean, 可选): 是否连接已打开的 Chrome(需要 Chrome 调试模式),默认使用新浏览器
输出示例:
{
"success": true,
"data": {
"title": "网页标题",
"content": "网页纯文本内容...",
"markdown": "# 网页标题\n\n网页 Markdown 内容...",
"url": "https://example.com/final",
"originalUrl": "https://example.com",
"length": 1234,
"mode": "browser"
}
}连接已有 Chrome 浏览器:
# 以调试模式启动 Chrome
chrome.exe --remote-debugging-port=9222read_clipboard_image
从系统剪贴板读取图片并进行 OCR 文字识别。
输入参数:
language(string, 可选): 识别语言,默认chi_sim+engchi_sim: 简体中文chi_tra: 繁体中文eng: 英文jpn: 日文kor: 韩文chi_sim+eng: 简体中文+英文chi_tra+eng: 繁体中文+英文
preprocess(boolean, 可选): 是否预处理图片(提高识别准确率),默认开启
输出示例:
{
"success": true,
"data": {
"text": "识别出的文字内容...",
"confidence": 95.5,
"statistics": {
"characters": 123,
"words": 45,
"lines": 10,
"blocks": 5
},
"language": "chi_sim+eng",
"preprocess": "已预处理(灰度、对比度标准化、锐化)",
"blocks": [...],
"source": "clipboard",
"savedPath": "clipboard/clipboard_2026-05-31T00-52-00.png"
}
}使用步骤:
复制图片(右键 → 复制图片,或 Win+Shift+S 截图)
调用此工具进行 OCR 识别
开发
# 开发模式运行
npm run dev
# 编译
npm run build
# 监听模式
npm run watch技术栈
TypeScript
MCP SDK (@modelcontextprotocol/sdk)
axios
cheerio
turndown
playwright
sharp
tesseract.js
zod
许可证
MIT
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