Data Processing
预览 JSONata 风格查询与转换,支持多数据对比,并导出 JSON、CSV、YAML 或 Markdown。
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/jsonata-query-transform-studio' \
-H 'Content-Type: application/json' \
-d '{"jsonInput":"{\"orders\":[{\"id\":1,\"status\":\"paid\",\"total\":120},{\"id\":2,\"status\":\"pending\",\"total\":40}]}","expression":"groupBy(orders, \"status\")","compareJsonInput":"{\"orders\":[{\"id\":2,\"status\":\"pending\",\"total\":55}]}","outputFormat":"json","saveExpression":false,"templateName":"Paid order totals"}'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/jsonata-query-transform-studio| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| jsonInput | textarea | 是 | — |
| expression | textarea | 是 | — |
| compareJsonInput | textarea | 否 | — |
| outputFormat | select | 否 | — |
| saveExpression | checkbox | 否 | — |
| templateName | text |
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-jsonata-query-transform-studio": {
"name": "jsonata-query-transform-studio",
"description": "预览 JSONata 风格查询与转换,支持多数据对比,并导出 JSON、CSV、YAML 或 Markdown。",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=jsonata-query-transform-studio",
"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": "jsonata-query-transform-studio",
"arguments": {
"jsonInput": "{\"orders\":[{\"id\":1,\"status\":\"paid\",\"total\":120},{\"id\":2,\"status\":\"pending\",\"total\":40}]}",
"expression": "groupBy(orders, \"status\")",
"compareJsonInput": "{\"orders\":[{\"id\":2,\"status\":\"pending\",\"total\":55}]}",
"outputFormat": "json",
"saveExpression": false,
"templateName": "Paid order totals"
}
}
}有问题或反馈?请联系 [email protected]
| 否 |
| — |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}