Video Transcribe Mcp
What is Video Transcribe Mcp
video-transcribe-mcp is an MCP server implementation that integrates with Optivus, providing video transcription capabilities for various platforms such as YouTube, Facebook, and TikTok, specifically designed for Large Language Models (LLMs).
Use cases
Use cases include transcribing YouTube videos for content analysis, converting video files from lectures into text for educational purposes, and extracting text from images for data processing.
How to use
To use video-transcribe-mcp, add it as an MCP server in Dive Desktop by clicking ‘+ Add MCP Server’, then copy and paste the provided configuration. You can transcribe videos by providing their URLs or file paths to the server.
Key features
Key features include video transcription to text, integration with MCP-compatible LLMs, and support for transcribing both video files and images.
Where to use
video-transcribe-mcp can be used in fields such as content creation, social media management, education, and any domain where video content needs to be converted to text for analysis or accessibility.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
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 such as YouTube, Facebook, and TikTok, specifically designed for Large Language Models (LLMs).
Use cases
Use cases include transcribing YouTube videos for content analysis, converting video files from lectures into text for educational purposes, and extracting text from images for data processing.
How to use
To use video-transcribe-mcp, add it as an MCP server in Dive Desktop by clicking ‘+ Add MCP Server’, then copy and paste the provided configuration. You can transcribe videos by providing their URLs or file paths to the server.
Key features
Key features include video transcription to text, integration with MCP-compatible LLMs, and support for transcribing both video files and images.
Where to use
video-transcribe-mcp can be used in fields such as content creation, social media management, education, and any domain where video content needs to be converted to text for analysis or accessibility.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
video-transcribe-mcp
An MCP server implementation that integrates with optivus, providing video transcribe capabilities (e.g. YouTube, Facebook, Tiktok, etc.) for LLMs.
Features
- Video Transcribe: Transcribe video to text
- MCP Integration: Works with Dive and other MCP-compatible LLMs
With Dive Desktop
- Click “+ Add MCP Server” in Dive Desktop
- Copy and paste this configuration:
{
"mcpServers": {
"video-transcribe": {
"command": "npx",
"args": [
"-y",
"@demon24ru/video-transcribe-mcp"
]
}
}
}- Click “Save” to install the MCP server
Tool Documentation
-
transcribe_video
- Transcribe video to text
- Inputs:
urls(string, required): URL of the video
-
transcribe_video_file
- Transcribe video file to text
- Inputs:
file_path(string, required): Path to the video file
-
transcribe_image
- Transcribe image to text
- Inputs:
file_path(string, required): Path to the image file
Usage Examples
Ask your LLM to:
"Transcribe this video: https://youtube.com/watch?v=..." "Transcribe this video file: /path/to/video.mp4" "Transcribe this image: /path/to/image.jpg"
Manual Start
If needed, start the server manually:
npx @demon24ru/video-transcribe-mcp
Debug
If needed, start the server in debug mode:
npm run prepare npx @modelcontextprotocol/inspector node ./lib/index.mjs -y
Requirements
- Node.js 20+
- MCP-compatible LLM service
License
MIT
Author
@demon24ru
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
