MCP Video & Audio Text Extraction Server
A Model Context Protocol (MCP) server that enables text extraction from various video platforms and audio files, allowing compatible host applications (like Claude Desktop, Cursor) to access video content and perform text transcription.
What is it?
MCP Video & Audio Text Extraction Server is a Model Context Protocol (MCP) server that can download videos from various platforms, extract audio, and convert it to text. The server utilizes OpenAI's Whisper model for high-quality audio-to-text conversion.
How to use it?
Clone the repository and install dependencies
Ensure FFmpeg is installed
Run the server
Configure your MCP host application (like Claude Desktop) to use the server
Key Features
Support video downloads from multiple platforms including YouTube, Bilibili, TikTok, etc.
Extract audio content from videos
High-quality speech recognition using Whisper model
Multi-language text recognition support
Asynchronous processing for large files
Standardized MCP tools interface
Use Cases
Provide text transcription capabilities for applications that need to process video content
Batch process video content and extract text information
Create custom applications requiring audio/video text extraction functionality
Enable AI assistants to understand video content
FAQ
What are the system requirements to run the server?
> Requires Python 3.9+, FFmpeg, minimum 8GB RAM, GPU acceleration recommended
What should I know about first run?
> The system will automatically download the Whisper model file (approximately 1GB), which may take several minutes to tens of minutes
What audio formats are supported?
> Supports common audio formats including mp3, wav, m4a, etc.
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Overview
What is Video Extraction Server?
The Video Extraction Server is an MCP (Model Context Protocol) server designed to extract text from various video platforms and audio files, utilizing OpenAI's Whisper model for high-quality audio-to-text conversion.
How to use Video Extraction Server?
To use the Video Extraction Server, clone the repository, install the necessary dependencies, ensure FFmpeg is installed, run the server, and configure your MCP host application (like Claude Desktop) to connect to the server.
Key features of Video Extraction Server?
- Supports video downloads from multiple platforms including YouTube, Bilibili, and TikTok.
- Extracts audio content from videos and converts it to text.
- High-quality speech recognition using the Whisper model.
- Multi-language text recognition support.
- Asynchronous processing for handling large files efficiently.
Use cases of Video Extraction Server?
- Providing text transcription capabilities for applications that process video content.
- Batch processing of video content to extract text information.
- Creating custom applications that require audio/video text extraction functionality.
- Enabling AI assistants to understand and process video content.
FAQ from Video Extraction Server?
- What are the system requirements to run the server?
Requires Python 3.9+, FFmpeg, minimum 8GB RAM, GPU acceleration recommended.
- What should I know about the first run?
The system will automatically download the Whisper model file (approximately 1GB), which may take several minutes to tens of minutes.
- What audio formats are supported?
Supports common audio formats including mp3, wav, m4a, etc.