clova-speech-lecture-mcp
CLOVA Speech Lecture MCP Server
講義録音のSTTおよび要約のためのMCPサーバーです。 Google ADKエージェントからNaver CLOVA Speech / CLOVA Studio APIを呼び出します。
提供ツール
ツール名 | 説明 | 適した状況 |
| 同期STT(60秒以下) | 短いクリップ、テスト |
| 非同期STT提出(講義全体) | 数十分〜数時間の講義 |
| 非同期STT結果照会 | submit後のポーリング |
| 講義の文字起こし要約 | 文字起こし完了後 |
Related MCP server: audio-transcriber
はじめに
1. APIキーの発行
CLOVA Speech (STT)
Naver Cloud Platformにログイン
AI Services → CLOVA Speech → 利用申請
サービス作成後、Secret Keyをコピー
CLOVA Studio (要約)
AI Services → CLOVA Studio → 利用申請
Playgroundでアプリを作成
APIキーおよびアプリIDをコピー
2. .env設定
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. 実行
# Docker
docker-compose up -d
# 로컬 실행
pip install -r requirements.txt
python app/main.py4. ADKエージェント接続
# agent.py 예시
tools = [
MCPToolset(
connection_params=SseServerParams(url="http://localhost:8002/sse")
)
]講義処理フロー
[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]対応オーディオ形式
.wav .mp3 .flac .m4a .aac .ogg
対応言語
コード (短文) | コード (長文) | 言語 |
|
| 韓国語 |
|
| 英語 |
|
| 日本語 |
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
- mcpOAuthso.transcribe
Transcribe audio and video into speaker-labelled transcripts, subtitles, clips, and cited Q&A.
AI transcription from URLs or files. 119 languages, diarization, SRT/VTT/text export.
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