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ASR MCP Server

by vidau-ai

The ASR MCP Server provides Automatic Speech Recognition (ASR) capabilities using the whisper engine. It exposes TTS functionality through MCP tools, simplifying speech synthesis integration into applications.

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What is ASR MCP Server?

An ASR (Automatic Speech Recognition) server built on the Model Context Protocol (MCP) that utilizes the Whisper engine for speech-to-text conversion.

How to use ASR MCP Server?

Configure the MCP server settings with the provided JSON configuration, ensuring the correct paths to your Conda environment and the server directory are specified. Then, run the asr_server.py script using the uv package manager.

Key features of ASR MCP Server

  • ASR capabilities using Whisper

  • MCP integration

  • TTS functionality

  • Easy integration into applications

Use cases of ASR MCP Server

  • Integrating speech recognition into applications

  • Transcribing audio files

  • Creating voice-controlled interfaces

  • Generating subtitles or captions

FAQ from ASR MCP Server

What is the Whisper engine?

Whisper is an open-source neural network for robust speech recognition.

What is MCP?

MCP stands for Model Context Protocol, a framework for managing and deploying AI models.

What are the prerequisites for running the server?

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

How do I configure the MCP server?

Use the provided JSON configuration, updating the paths to your Conda environment and the server directory.

Where can I find more information about VidAU.ai?

Visit vidau.ai for more information about their AI video generation and editing tools.