Transcription MCP Sever

Name: Transcription MCP Sever
Author: Charisma2595

@Charisma2595

Repository

About Transcription MCP Sever

No overview available yet

#transcription #audio-processing #mcp-server

Basic information

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"
      ]
    }
  }
}

Tools

No tools detected

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

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.

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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