Media
在多文件或 ZIP 中查找完全重复和近重复音频，包括使用不同编码保存的同内容副本。
用三种语言从你的代码中调用此工具。
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/audio-duplicate-library-finder' \
-H 'Content-Type: application/json' \
-d '{"filename":"audioFiles.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/zh/api/tools/audio-duplicate-library-finder' \
-F 'audioFiles=tests/fixtures/audio-to-text-transcriber-english.flac,tests/fixtures/audio-to-text-transcriber-english.flac' \
-F 'similarityThreshold=0.82' \
-F 'maxDuration=900' \
-F 'outputFormat=json'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/audio-duplicate-library-finder| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| audioFiles | file需先上传 | 是 | — |
| similarityThreshold | number | 否 | — |
| maxDuration | number | 否 | — |
| outputFormat | select | 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-audio-duplicate-library-finder": {
"name": "audio-duplicate-library-finder",
"description": "在多文件或 ZIP 中查找完全重复和近重复音频，包括使用不同编码保存的同内容副本。",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=audio-duplicate-library-finder",
"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": "audio-duplicate-library-finder",
"arguments": {
"audioFiles": [
"tests/fixtures/audio-to-text-transcriber-english.flac",
"tests/fixtures/audio-to-text-transcriber-english.flac"
],
"similarityThreshold": 0.82,
"maxDuration": 900,
"outputFormat": "json"
}
}
}有问题或反馈？请联系 [email protected]