Data Processing
按列值过滤CSV数据,支持多个条件和运算符。支持12种过滤运算符,包括等于、包含、大于、小于和空值检查。 额外过滤器示例: [{"column": "年龄", "operator": "greater_than", "value": "25"}] [{"column": "状态", "operator": "equals", "value": "激活"}, {"column": "分数", "operator": "greater_equal", "value": "80"}] [{"column": "姓名", "operator": "contains", "value": "张"}, {"column": "邮箱", "operator": "is_not_empty"}]
用三种语言从你的代码中调用此工具。
# 1) Upload each file first → returns { filePath }
curl -X POST 'https://api.elysiatools.com/upload/csv-filter' \
-F 'file=@/path/to/csvFile.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/zh/api/tools/csv-filter' \
-F 'csvFile=/path/to/file.ext' \
-F 'filterColumn=Column name to filter on' \
-F 'filterOperator=equals' \
-F 'filterValue=Value to filter by (leave empty for is_empty/is_not_empty)' \
-F 'additionalFilters=示例:
[{"column": "年龄", "operator": "greater_than", "value": "25"}]
[{"column": "状态", "operator": "equals", "value": "激活"}, {"column": "分数", "operator": "greater_equal", "value": "80"}]
[{"column": "姓名", "operator": "contains", "value": "张"}, {"column": "邮箱", "operator": "is_not_empty"}]' \
-F 'outputFormat=csv' \
-F 'includeHeader=true' \
-F 'caseSensitive=false' \
-F 'trimValues=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-filter| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| csvFile | file需先上传 | 是 | — |
| filterColumn | text | 是 | — |
| filterOperator | select | 否 | — |
| filterValue | text | 否 | — |
| additionalFilters | textarea | 否 | — |
| outputFormat | select | 否 | — |
| includeHeader | checkbox | 否 | — |
| caseSensitive | checkbox | 否 | — |
| trimValues | checkbox | 否 | — |
文件结果
{
"filePath": "/public/processing/randomid.ext",
"fileName": "output.ext",
"contentType": "application/octet-stream",
"size": 1024,
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}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-filter": {
"name": "csv-filter",
"description": "按列值过滤CSV数据,支持多个条件和运算符。支持12种过滤运算符,包括等于、包含、大于、小于和空值检查。\n\n额外过滤器示例:\n[{\"column\": \"年龄\", \"operator\": \"greater_than\", \"value\": \"25\"}]\n[{\"column\": \"状态\", \"operator\": \"equals\", \"value\": \"激活\"}, {\"column\": \"分数\", \"operator\": \"greater_equal\", \"value\": \"80\"}]\n[{\"column\": \"姓名\", \"operator\": \"contains\", \"value\": \"张\"}, {\"column\": \"邮箱\", \"operator\": \"is_not_empty\"}]",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=csv-filter",
"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-filter",
"arguments": {
"csvFile": "https://example.com/file.ext",
"filterColumn": "Column name to filter on",
"filterOperator": "equals",
"filterValue": "Value to filter by (leave empty for is_empty/is_not_empty)",
"additionalFilters": "示例:\n[{\"column\": \"年龄\", \"operator\": \"greater_than\", \"value\": \"25\"}]\n[{\"column\": \"状态\", \"operator\": \"equals\", \"value\": \"激活\"}, {\"column\": \"分数\", \"operator\": \"greater_equal\", \"value\": \"80\"}]\n[{\"column\": \"姓名\", \"operator\": \"contains\", \"value\": \"张\"}, {\"column\": \"邮箱\", \"operator\": \"is_not_empty\"}]",
"outputFormat": "csv",
"includeHeader": true,
"caseSensitive": false,
"trimValues": true
}
}
}有问题或反馈?请联系 [email protected]