Data Processing
校验 CSV 结构，检测畸形行、引号不配对和列数不一致
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-validator' \
-H 'Content-Type: application/json' \
-d '{"csvInput":"Enter CSV data to validate...","delimiter":",","quoteCharacter":"\"","hasHeader":true,"strictColumns":true,"allowEmptyLines":true,"allowTrailingDelimiter":false}'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-validator| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| csvInput | textarea | 是 | — |
| delimiter | text | 否 | — |
| quoteCharacter | text | 否 | — |
| hasHeader | checkbox | 否 | Treat the first data row as the column header used for column-count comparison |
| strictColumns | checkbox | 否 | Flag any row whose column count differs from the header |
| allowEmptyLines |
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-validator": {
"name": "csv-validator",
"description": "校验 CSV 结构，检测畸形行、引号不配对和列数不一致",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=csv-validator",
"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-validator",
"arguments": {
"csvInput": "Enter CSV data to validate...",
"delimiter": ",",
"quoteCharacter": "\"",
"hasHeader": true,
"strictColumns": true,
"allowEmptyLines": true,
"allowTrailingDelimiter": false
}
}
}有问题或反馈？请联系 [email protected]
| checkbox |
| 否 |
| Do not warn about blank lines between records |
| allowTrailingDelimiter | checkbox | 否 | Do not warn about an extra delimiter at the end of a line |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}