clova-speech-lecture-mcp
CLOVA Speech 讲座 MCP 服务器
这是一个用于讲座录音 STT 和摘要的 MCP 服务器。 通过 Google ADK 代理调用 Naver CLOVA Speech / CLOVA Studio API。
提供工具
工具名称 | 说明 | 适用场景 |
| 同步 STT(60秒以下) | 短片段、测试 |
| 异步 STT 提交(完整讲座) | 数十分钟至数小时的讲座 |
| 异步 STT 结果查询 | 提交后的轮询 |
| 讲座转录稿摘要 | 转录完成后 |
Related MCP server: audio-transcriber
开始使用
1. 获取 API 密钥
CLOVA Speech (STT)
AI Services → CLOVA Speech → 申请使用
创建服务后复制 Secret Key
CLOVA Studio (摘要)
AI Services → CLOVA Studio → 申请使用
在 Playground 中创建应用
复制 API 密钥和应用 ID
2. .env 设置
cp .env .env.local # 실제 값으로 수정CLOVA_SPEECH_API_KEY=실제_키_입력
CLOVA_STUDIO_CLIENT_ID=실제_Client_ID
CLOVA_STUDIO_CLIENT_SECRET=실제_Client_Secret
CLOVA_STUDIO_APP_ID=실제_앱_ID3. 运行
# Docker
docker-compose up -d
# 로컬 실행
pip install -r requirements.txt
python app/main.py4. 连接 ADK 代理
# agent.py 예시
tools = [
MCPToolset(
connection_params=SseServerParams(url="http://localhost:8002/sse")
)
]讲座处理流程
[강의 오디오 파일]
↓
transcribe_lecture_submit(file_path, enable_diarization=True)
↓ (task_id 반환)
get_transcription_result(task_id) ← 완료까지 자동 폴링
↓ (full_text 반환)
summarize_lecture(text)
↓
[요약문 + 키워드]支持的音频格式
.wav .mp3 .flac .m4a .aac .ogg
支持的语言
代码 (短文) | 代码 (长文) | 语言 |
|
| 韩语 |
|
| 英语 |
|
| 日语 |
This server cannot be deployed
Maintenance
Related MCP Connectors
Pronunciation assessment, phoneme scoring, speaker voice ID, audio transcription, speech synthesis.
Pronunciation scoring, speech-to-text, and text-to-speech for language learning
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Transcribe audio and video into speaker-labelled transcripts, subtitles, clips, and cited Q&A.
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