Data Processing
合并多个文本文件,支持多种合并策略(连接、交错、智能合并等)
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/txt-merger' \
-F 'file=@/path/to/txtFiles.ext'
# 2) Call the tool with the returned filePath values
curl -X POST 'https://api.elysiatools.com/zh/api/tools/txt-merger' \
-F 'txtFiles=/path/to/file.ext' \
-F 'mergeStrategy=concatenate' \
-F 'separator=newline' \
-F 'includeHeaders=no' \
-F 'lineNumbers=no' \
-F 'encoding=utf-8'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/txt-merger| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| txtFiles | file需先上传 | 是 | — |
| mergeStrategy | select | 是 | — |
| separator | select | 是 | — |
| includeHeaders | select | 是 | — |
| lineNumbers | select | 是 | — |
| encoding |
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-txt-merger": {
"name": "txt-merger",
"description": "合并多个文本文件,支持多种合并策略(连接、交错、智能合并等)",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=txt-merger",
"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": "txt-merger",
"arguments": {
"txtFiles": "https://example.com/file.ext",
"mergeStrategy": "concatenate",
"separator": "newline",
"includeHeaders": "no",
"lineNumbers": "no",
"encoding": "utf-8"
}
}
}| select |
| 是 |
| — |
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)"
}有问题或反馈?请联系 [email protected]