Frequently Asked Questions (FAQ)

Q: What platforms are supported by the Video & Audio Text Extraction Server?

A: The server supports a wide range of platforms, including YouTube, Bilibili, TikTok, Instagram, Twitter/X, Facebook, Vimeo, Dailymotion, and SoundCloud. For a complete list, please refer to the yt-dlp documentation.

Q: What is the Model Context Protocol (MCP)?

A: MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), enabling secure and standardized access to external data and tools.

Q: What is the core technology used for audio-to-text processing?

A: The server utilizes OpenAI’s Whisper model for high-quality audio-to-text processing.

Q: What are the system requirements for running the server?

A: The server requires FFmpeg for audio processing, a minimum of 8GB of RAM, recommended GPU acceleration (NVIDIA GPU + CUDA), and sufficient disk space.

Q: How do I install FFmpeg?

A: FFmpeg can be installed through various package managers, such as apt (Ubuntu/Debian), pacman (Arch Linux), brew (MacOS), or Chocolatey/Scoop (Windows).

Q: How do I configure the server for Claude/Cursor?

A: Add the server configuration to your Claude/Cursor settings, specifying the command and arguments for running the video extraction server.

Q: What Whisper model sizes are available?

A: The server supports tiny, base, small, medium, and large Whisper model sizes. Choose the appropriate size based on your accuracy and performance requirements.

Q: How can I optimize the server’s performance?

A: Consider using GPU acceleration, adjusting the Whisper model size, and using SSD storage for temporary files.

Q: How much disk space is required for the Whisper model?

A: The Whisper model requires approximately 1GB of disk space. It is downloaded on the first run and cached locally for subsequent runs.

Q: What is UBOS and how does it relate to the MCP Server?

A: UBOS is a Full-stack AI Agent Development Platform. UBOS focused on bringing AI Agent to every business department. The MCP Video & Audio Text Extraction Server can be integrated with the UBOS platform to provide AI Agents with multimedia context awareness.