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Asr MCP Server
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Asr MCP Server

The ASR MCP server is an automatic speech recognition service based on the Whisper engine, providing the speech synthesis function through the MCP tool for easy application integration.
Voice processingDeveloper tools#Speech recognition#MCP service#AI integration.Python
2 points
9.7K
Open Site

Overview

Installation

Content Details

Alternatives

What is the ASR MCP server?

The ASR MCP server is a speech recognition tool built on the Whisper engine, providing the automatic speech-to-text function through the Model Context Protocol (MCP). It can help developers quickly achieve the conversion from voice input to text output and is widely used in areas such as voice assistants, meeting records, and real-time subtitles.

How to use the ASR MCP server?

Users only need to start the server according to simple installation steps and then call the API to implement the speech recognition function. No complex configuration is required, making it suitable for all types of developers.

Applicable scenarios

Suitable for scenarios that require speech-to-text conversion, such as meeting records, voice assistants, real-time subtitle generation, and voice notes in the education field.

Main features

Automatic speech-to-text
Leverage the powerful capabilities of the Whisper engine to convert voice files into accurate text in real-time.
Cross-platform compatibility
Supports multiple operating systems and devices, facilitating seamless integration into existing systems.
Multi-language support
Supports speech recognition in multiple languages to meet internationalization needs.
Advantages
High-precision speech recognition, supporting multiple languages.
Easy to integrate, no complex configuration required.
The powerful Whisper engine ensures high efficiency.
Friendly to open source with rich community support.
Limitations
May affect the recognition effect for low-quality audio.
Requires certain computing resources to run the server.
Requires the installation of Python 3.10 or higher for the initial deployment.

How to use

Install dependencies
Ensure that Python 3.10 or a higher version is installed, and install the openai-whisper library.
Configure the MCP server
Edit the MCP configuration file to specify the server path and startup command.
Start the server
Run the command in the configuration file in the terminal to start the ASR MCP server.

Usage examples

Convert meeting recordings to text
Upload the meeting recording file to the server for speech-to-text processing.
Real-time subtitle generation
Use the real-time streaming function to generate real-time subtitles for live videos.

Frequently Asked Questions

How to solve the problem of inaccurate speech recognition?
Does it support multi-language recognition?
How to stop the ASR MCP server?

Related resources

Official documentation
Get detailed installation and usage guides.
Whisper engine
Understand the working principle of the Whisper engine.
VidAU.ai
A revolutionary AI video generation tool.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "asr_mcp_server": {
      "command": "/YOUR_CONDA_PATH/bin/uv",
      "args": [
        "--directory",
        "/YOUR_PATH/asr_mcp_server",
        "run",
        "asr_server.py"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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