Developer Tools
提取 PDF 的 OpenDataLoader JSON 结构，并以浏览器视图查看标题、段落、表格、列表、页码和 bbox
用三种语言从你的代码中调用此工具。
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/pdf-to-json-structure-explorer' \
-F 'file=@/path/to/pdfFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/zh/api/tools/pdf-to-json-structure-explorer' \
-F 'pdfFile=/public/samples/pdf/brand-guidelines-pdf-example1.pdf' \
-F 'useStructTree=true' \
-F 'sanitizeSensitiveData=false' \
-F 'pages=' \
-F 'nodeFilter=all' \
-F 'searchTerm='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/pdf-to-json-structure-explorer| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| pdfFile | file需先上传 | 是 | — |
| useStructTree | checkbox | 否 | — |
| sanitizeSensitiveData | checkbox | 否 | — |
| pages | text | 否 | — |
| nodeFilter | select | 否 | — |
| searchTerm |
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-pdf-to-json-structure-explorer": {
"name": "pdf-to-json-structure-explorer",
"description": "提取 PDF 的 OpenDataLoader JSON 结构，并以浏览器视图查看标题、段落、表格、列表、页码和 bbox",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=pdf-to-json-structure-explorer",
"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": "pdf-to-json-structure-explorer",
"arguments": {
"pdfFile": "/public/samples/pdf/brand-guidelines-pdf-example1.pdf",
"useStructTree": true,
"sanitizeSensitiveData": false,
"pages": "",
"nodeFilter": "all",
"searchTerm": ""
}
}
}| text |
| 否 |
| — |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}有问题或反馈？请联系 [email protected]