An MCP server implementation that integrates with optivus, providing video transcribe capabilities (e.g. YouTube, Facebook, Tiktok, etc.) for LLMs
Overview
What is video-transcribe-mcp?
video-transcribe-mcp is an MCP server implementation that integrates with Optivus, providing video transcription capabilities for various platforms like YouTube, Facebook, and TikTok, specifically designed for LLMs (Large Language Models).
How to use video-transcribe-mcp?
To use video-transcribe-mcp, you need to add it as an MCP server in the Dive Desktop application by copying the provided configuration and installing it. You can then use it to transcribe videos or images by providing the appropriate URLs or file paths.
Key features of video-transcribe-mcp?
- Video Transcription: Converts video content into text.
- MCP Integration: Compatible with Dive and other MCP-compatible LLMs.
- Multiple Input Options: Supports transcription from video URLs, video files, and images.
Use cases of video-transcribe-mcp?
- Transcribing YouTube videos for content analysis.
- Extracting text from video files for documentation purposes.
- Converting images containing text into editable text format.
FAQ from video-transcribe-mcp?
- Can I transcribe videos from any platform?
Yes, video-transcribe-mcp supports various platforms like YouTube, Facebook, and TikTok.
- What are the requirements to run video-transcribe-mcp?
You need Node.js 20+ and an MCP-compatible LLM service.
- Is there a manual way to start the server?
Yes, you can start the server manually using the command:
npx @demon24ru/video-transcribe-mcp.