Development
根据各种条件对数组元素进行分组,如长度、字母顺序、数值范围、自定义条件等
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/array-grouper' \
-H 'Content-Type: application/json' \
-d '{"arrayInput":"Enter array elements separated by delimiter...\napple, banana, orange, grape, mango, peach, kiwi, 123, [email protected]","delimiter":"comma","customDelimiter":"输入自定义分隔符","groupingMethod":"size","customGroupSize":3,"numericGroupSize":10,"alphabeticGroupCount":6,"lengthGroupRanges":"5,10,15,20","caseSensitive":false,"preserveOrder":false,"outputFormat":"table"}'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/array-grouper| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| arrayInput | textarea | 是 | — |
| delimiter | select | 是 | — |
| customDelimiter | text | 否 | — |
| groupingMethod | select | 是 | — |
| customGroupSize | number | 否 | — |
| numericGroupSize | number |
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-array-grouper": {
"name": "array-grouper",
"description": "根据各种条件对数组元素进行分组,如长度、字母顺序、数值范围、自定义条件等",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=array-grouper",
"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": "array-grouper",
"arguments": {
"arrayInput": "Enter array elements separated by delimiter...\napple, banana, orange, grape, mango, peach, kiwi, 123, [email protected]",
"delimiter": "comma",
"customDelimiter": "输入自定义分隔符",
"groupingMethod": "size",
"customGroupSize": 3,
"numericGroupSize": 10,
"alphabeticGroupCount": 6,
"lengthGroupRanges": "5,10,15,20",
"caseSensitive": false,
"preserveOrder": false,
"outputFormat": "table"
}
}
}有问题或反馈?请联系 [email protected]
| 否 |
| — |
| alphabeticGroupCount | number | 否 | — |
| lengthGroupRanges | text | 否 | — |
| caseSensitive | checkbox | 否 | — |
| preserveOrder | checkbox | 否 | — |
| outputFormat | select | 是 | — |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}