Data Processing
转置CSV数据，将行转换为列，支持各种分隔符和输出格式
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/csv-row-column-transposer' \
-H 'Content-Type: application/json' \
-d '{"csvInput":"Enter CSV data...\nName,Age,City\nJohn,25,New York\nJane,30,London","delimiter":"comma","customDelimiter":"输入自定义分隔符","headerHandling":"auto-detect","emptyCellHandling":"empty","outputFormat":"csv","trimWhitespace":true,"preserveOriginalHeaders":false,"showStatistics":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/csv-row-column-transposer| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| csvInput | textarea | 是 | — |
| delimiter | select | 是 | — |
| customDelimiter | text | 否 | — |
| headerHandling | select | 是 | — |
| emptyCellHandling | select | 是 | — |
| outputFormat | 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-csv-row-column-transposer": {
"name": "csv-row-column-transposer",
"description": "转置CSV数据，将行转换为列，支持各种分隔符和输出格式",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=csv-row-column-transposer",
"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": "csv-row-column-transposer",
"arguments": {
"csvInput": "Enter CSV data...\nName,Age,City\nJohn,25,New York\nJane,30,London",
"delimiter": "comma",
"customDelimiter": "输入自定义分隔符",
"headerHandling": "auto-detect",
"emptyCellHandling": "empty",
"outputFormat": "csv",
"trimWhitespace": true,
"preserveOriginalHeaders": false,
"showStatistics": true
}
}
}有问题或反馈？请联系 [email protected]
| 是 |
| — |
| trimWhitespace | checkbox | 否 | — |
| preserveOriginalHeaders | checkbox | 否 | — |
| showStatistics | checkbox | 否 | — |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}