Media
批量归一化播客集数、写入元数据和章节,并打包为可交付 ZIP。
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-batch-podcast-publisher-pack' \
-H 'Content-Type: application/json' \
-d '{"filename":"audioFiles.ext","contentType":"application/octet-stream","size":12345}'
curl -X POST 'https://api.elysiatools.com/api/upload/presign/audio-batch-podcast-publisher-pack' \
-H 'Content-Type: application/json' \
-d '{"filename":"metadataFile.ext","contentType":"application/octet-stream","size":12345}'
curl -X POST 'https://api.elysiatools.com/api/upload/presign/audio-batch-podcast-publisher-pack' \
-H 'Content-Type: application/json' \
-d '{"filename":"coverImage.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-batch-podcast-publisher-pack' \
-F 'audioFiles=tests/fixtures/audio-to-text-transcriber-english.flac' \
-F 'metadataJson={"show":"Elysia Demo","author":"Host","title":"Episode 1"}' \
-F 'metadataFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'coverImage=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'platform=apple-podcasts' \
-F 'targetLufs=-16' \
-F 'truePeakDb=-1' \
-F 'sampleRate=48000' \
-F 'outputFormat=mp3' \
-F 'bitrate=128' \
-F 'trimSilence=false'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-batch-podcast-publisher-pack| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| audioFiles | file需先上传 | 是 | — |
| metadataJson | textarea | 否 | Optional defaults and per-file metadata. Chapter times are seconds. |
| metadataFile | file需先上传 | 否 | — |
| coverImage | file需先上传 | 否 | — |
| platform | select | 否 | — |
| targetLufs | number | 否 | — |
| truePeakDb | number | 否 | — |
| sampleRate | select | 否 | — |
| outputFormat | select | 否 | — |
| bitrate | number | 否 | — |
| trimSilence | 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-audio-batch-podcast-publisher-pack": {
"name": "audio-batch-podcast-publisher-pack",
"description": "批量归一化播客集数、写入元数据和章节,并打包为可交付 ZIP。",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=audio-batch-podcast-publisher-pack",
"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-batch-podcast-publisher-pack",
"arguments": {
"audioFiles": [
"tests/fixtures/audio-to-text-transcriber-english.flac"
],
"metadataJson": "{\"show\":\"Elysia Demo\",\"author\":\"Host\",\"title\":\"Episode 1\"}",
"metadataFile": "https://example.com/file.ext",
"coverImage": "https://example.com/file.ext",
"platform": "apple-podcasts",
"targetLufs": -16,
"truePeakDb": -1,
"sampleRate": "48000",
"outputFormat": "mp3",
"bitrate": 128,
"trimSilence": false
}
}
}有问题或反馈?请联系 [email protected]