Transcription MCP Sever

@Charisma2595

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Charisma2595

关于 Transcription MCP Sever

暂无概览

#transcription #audio-processing #mcp-server

Transcription MCP Sever 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Transcription MCP Sever 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

Where are the transcripts saved?

All transcripts are saved in a local folder named `transcripts/`.

What audio formats are supported?

Only MP3 files are supported for transcription.

Can I run Transcription MCP Sever without Docker?

Yes, it can run directly on a local machine using Python and Uvicorn. Docker is optional.

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