Text Processing
移除HTML标签,提取干净的文本内容
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/html-tag-stripper' \
-H 'Content-Type: application/json' \
-d '{"html":"Enter HTML content to clean (can include tags, entities, etc.)...","preserveWhitespace":false,"preserveLineBreaks":true,"decodeEntities":true,"removeScriptStyle":true,"customKeepTags":"e.g., br,p,strong (comma-separated)"}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/html-tag-stripper| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| html | textarea | 是 | — |
| preserveWhitespace | checkbox | 否 | Keep multiple spaces and formatting |
| preserveLineBreaks | checkbox | 否 | Keep paragraph and line break structure |
| decodeEntities | checkbox | 否 | Convert & < > etc. to their characters |
| removeScriptStyle | checkbox | 否 | Completely remove JavaScript and CSS content |
将此工具加入你的 Model Context Protocol 服务,让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置:
{
"mcpServers": {
"elysiatools-html-tag-stripper": {
"name": "html-tag-stripper",
"description": "移除HTML标签,提取干净的文本内容",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=html-tag-stripper",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后,列出已开放的工具:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用,参数由其参数表构建:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "html-tag-stripper",
"arguments": {
"html": "Enter HTML content to clean (can include tags, entities, etc.)...",
"preserveWhitespace": false,
"preserveLineBreaks": true,
"decodeEntities": true,
"removeScriptStyle": true,
"customKeepTags": "e.g., br,p,strong (comma-separated)"
}
}
}有问题或反馈?请联系 [email protected]
| customKeepTags | text | 否 | Tags to preserve (comma-separated tag names) |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}