Utilities
使用AI从文本内容生成目录结构和章节索引
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/text-directory-generator' \
-H 'Content-Type: application/json' \
-d '{"text":"输入或粘贴要分析和生成目录的文本内容...","format":"markdown","depth":3,"includeNumbers":true,"includeDescriptions":false,"style":"simple","language":"en"}'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/text-directory-generator| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| text | textarea | 是 | — |
| format | select | 否 | — |
| depth | number | 否 | — |
| includeNumbers | checkbox | 否 | — |
| includeDescriptions | checkbox | 否 | — |
| style | select |
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-text-directory-generator": {
"name": "text-directory-generator",
"description": "使用AI从文本内容生成目录结构和章节索引",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=text-directory-generator",
"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": "text-directory-generator",
"arguments": {
"text": "输入或粘贴要分析和生成目录的文本内容...",
"format": "markdown",
"depth": 3,
"includeNumbers": true,
"includeDescriptions": false,
"style": "simple",
"language": "en"
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
| language | select | 否 | — |
流式结果
data: {"chunk": "data: processed content 1", "type": "stream"}
data: {"chunk": "data: processed content 2", "type": "stream"}
data: {"type": "done"}