Text Processing
从文本内容中提取偶数行，支持多种索引方法和自定义条件
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/even-line-extractor' \
-H 'Content-Type: application/json' \
-d '{"textInput":"Enter or paste your text content here...\nLine 1\nLine 2\nLine 3\nLine 4\nLine 5\nLine 6","countingMethod":"1-based","startIndex":2,"trimLines":false,"includeEmptyLines":false,"preserveLineNumbers":true,"showLineNumbers":true,"outputFormat":"numbered"}'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/even-line-extractor| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| textInput | textarea | 是 | — |
| countingMethod | select | 是 | — |
| startIndex | number | 否 | — |
| trimLines | checkbox | 否 | — |
| includeEmptyLines | checkbox | 否 | — |
| preserveLineNumbers | checkbox |
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-even-line-extractor": {
"name": "even-line-extractor",
"description": "从文本内容中提取偶数行，支持多种索引方法和自定义条件",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=even-line-extractor",
"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": "even-line-extractor",
"arguments": {
"textInput": "Enter or paste your text content here...\nLine 1\nLine 2\nLine 3\nLine 4\nLine 5\nLine 6",
"countingMethod": "1-based",
"startIndex": 2,
"trimLines": false,
"includeEmptyLines": false,
"preserveLineNumbers": true,
"showLineNumbers": true,
"outputFormat": "numbered"
}
}
}有问题或反馈？请联系 [email protected]
| 否 |
| — |
| showLineNumbers | checkbox | 否 | — |
| outputFormat | select | 是 | — |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}