Transcription MCP Sever

Name: Transcription MCP Sever
Author: Charisma2595

@Charisma2595

リポジトリ

Transcription MCP Sever について

概要はまだありません

#transcription #audio-processing #mcp-server

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

Charisma2595

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "transcription_mcp_server": {
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "dev",
        "mcpserver_transcription.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Transcription MCP Sever?

Transcription MCP Sever is an MCP (Model-Context-Protocol) server for transcribing MP3 audio files using the AssemblyAI API. It provides command-line and Docker-based tools to transcribe audio, targeting podcasters, content creators, educators, and business teams.

How to use Transcription MCP Sever?

Install dependencies from requirements.txt, set your AssemblyAI API key as the API_KEY environment variable, then run with mcp dev or mcp install to connect with an AI assistant like Claude, or use the provided client script with a file path.

Key features of Transcription MCP Sever

Transcribe MP3 audio files into JSON transcripts via AssemblyAI API
Speaker diarization (speaker labels) enabled
Saves transcripts in a local "transcripts/" directory
Accepts file paths via command-line interface (Google Fire)
Ready to run in a Docker container for portability

Use cases of Transcription MCP Sever

Transcribing podcast episodes for show notes and searchability
Converting educational lecture recordings into text transcripts
Generating meeting summaries for business teams
Creating searchable archives of audio content for content creators

FAQ from Transcription MCP Sever

What are the prerequisites?

Python 3.10+, Uvicorn, Google Fire, an AssemblyAI API key, and optionally Docker.

How do I set my AssemblyAI API key?

Set it as an environment variable: export API_KEY="your_assemblyai_api_key" on Linux/macOS, or set API_KEY="your_assemblyai_api_key" on Windows CMD.