Data Processing
将扁平化的键值对转换回嵌套的JSON对象，支持不同键格式和数据类型推断
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/json-unflattener' \
-H 'Content-Type: application/json' \
-d '{"dataInput":"{\n \"user.name\": \"John\",\n \"user.age\": \"30\",\n \"user.city\": \"New York\",\n \"settings.theme\": \"dark\",\n \"settings.notifications\": \"true\"\n}","inputFormat":"json","keyFormat":"nested","delimiter":".","typeInference":"auto","arrayMode":"numeric","mergeStrategy":"override","preserveEmpty":true}'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/json-unflattener| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| dataInput | textarea | 是 | — |
| inputFormat | select | 是 | — |
| keyFormat | select | 是 | — |
| delimiter | text | 否 | — |
| typeInference | select | 是 | — |
| arrayMode | 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-json-unflattener": {
"name": "json-unflattener",
"description": "将扁平化的键值对转换回嵌套的JSON对象，支持不同键格式和数据类型推断",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=json-unflattener",
"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": "json-unflattener",
"arguments": {
"dataInput": "{\n \"user.name\": \"John\",\n \"user.age\": \"30\",\n \"user.city\": \"New York\",\n \"settings.theme\": \"dark\",\n \"settings.notifications\": \"true\"\n}",
"inputFormat": "json",
"keyFormat": "nested",
"delimiter": ".",
"typeInference": "auto",
"arrayMode": "numeric",
"mergeStrategy": "override",
"preserveEmpty": true
}
}
}有问题或反馈？请联系 [email protected]
| 是 |
| — |
| mergeStrategy | select | 是 | — |
| preserveEmpty | checkbox | 否 | — |
JSON 结果
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}