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Transcription MCP Sever

@Charisma2595

Repository

Basic information

Category

Other

Transports

stdio

Author

Charisma2595

About Transcription MCP Sever

No overview available yet

#transcription#audio-processing#mcp-server

Transcription MCP Sever config

Add this server to your MCP-compatible client using the configuration below.

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

Transcription MCP Sever tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

1

What are the prerequisites?

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

2

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.

3

Where are the transcripts saved?

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

4

What audio formats are supported?

Only MP3 files are supported for transcription.

5

Can I run Transcription MCP Sever without Docker?

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

Comments

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