Data Processing
将嵌套的JSON对象转换为键值对，支持自定义分隔符和扁平化策略
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-flattener' \
-H 'Content-Type: application/json' \
-d '{"jsonInput":"{\n \"user\": {\n \"name\": \"John\",\n \"details\": {\n \"age\": 30,\n \"city\": \"New York\"\n }\n },\n \"settings\": {\n \"theme\": \"dark\",\n \"notifications\": true\n }\n}","strategy":"nested","delimiter":".","maxDepth":0,"includeArrays":true,"filterNulls":false,"preserveOrder":true,"sortKeys":"none"}'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-flattener| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| jsonInput | textarea | 是 | — |
| strategy | select | 是 | — |
| delimiter | text | 否 | — |
| maxDepth | number | 否 | — |
| includeArrays | checkbox | 否 | — |
| filterNulls | checkbox |
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-flattener": {
"name": "json-flattener",
"description": "将嵌套的JSON对象转换为键值对，支持自定义分隔符和扁平化策略",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=json-flattener",
"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-flattener",
"arguments": {
"jsonInput": "{\n \"user\": {\n \"name\": \"John\",\n \"details\": {\n \"age\": 30,\n \"city\": \"New York\"\n }\n },\n \"settings\": {\n \"theme\": \"dark\",\n \"notifications\": true\n }\n}",
"strategy": "nested",
"delimiter": ".",
"maxDepth": 0,
"includeArrays": true,
"filterNulls": false,
"preserveOrder": true,
"sortKeys": "none"
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
| preserveOrder | checkbox | 否 | — |
| sortKeys | select | 是 | — |
JSON 结果
{
"key": {...},
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}