Asr_mcp_server

Asr_mcp_server

By vidau-ai GitHub

A Model Context Protocol (MCP) server that provides ASR(Automatic Speech Recognition) capabilities using the whisper engine. This server exposes TTS functionality through MCP tools, making it easy to integrate speech synthesis into your applications.

asr speech-recognition
Overview

what is ASR MCP Server?

ASR MCP Server is a Model Context Protocol (MCP) server that provides Automatic Speech Recognition (ASR) capabilities using the Whisper engine, enabling easy integration of speech synthesis into applications.

how to use ASR MCP Server?

To use the ASR MCP Server, ensure you have Python 3.10 or higher, the uv package manager, and OpenAI Whisper installed. Configure the MCP settings and run the server using the provided command.

key features of ASR MCP Server?

  • Provides ASR capabilities using the Whisper engine.
  • Exposes Text-to-Speech (TTS) functionality through MCP tools.
  • Easy integration into various applications.

use cases of ASR MCP Server?

  1. Integrating speech recognition in customer service applications.
  2. Enabling voice commands in mobile and web applications.
  3. Developing accessibility features for users with disabilities.

FAQ from ASR MCP Server?

  • What are the prerequisites for using ASR MCP Server?

You need Python 3.10 or higher, the uv package manager, and OpenAI Whisper.

  • Can I use ASR MCP Server for multiple languages?

Yes! The server supports multiple languages depending on the Whisper engine capabilities.

  • Is there any cost associated with using ASR MCP Server?

The server is open-source and free to use.

Content

ASR MCP Server

A Model Context Protocol (MCP) server that provides ASR(Automatic Speech Recognition) capabilities using the whisper engine. This server exposes TTS functionality through MCP tools, making it easy to integrate speech synthesis into your applications.

Prerequisites

  • Python 3.10 or higher
  • uv package manager
  • openai whisper

MCP Configuration

{
  "mcpServers": {
    "asr_mcp_server": {
      "command": "/YOUR_CONDA_PATH/bin/uv",
      "args": [
        "--directory",
        "/YOUR_PATH/asr_mcp_server",
        "run",
        "asr_server.py"
      ]
    }
  }
}

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