video-transcribe-mcp
About
An MCP server implementation that integrates with optivus, providing video transcribe capabilities (e.g. YouTube, Facebook, Tiktok, etc.) for LLMs
Details
- License
- MIT license
Explore
Video Transcribe: Transcribe video to text
MCP Integration: Works with Dive and other MCP-compatible LLMs
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
video-transcribe-mcpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Node.js 20+
MCP-compatible LLM service
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"
urls
(string, required): URL of the video
file_path
(string, required): Path to the video file
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
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"video-transcribe-mcp": {
"video-transcribe-mcp": {
"command": "npx",
"args": [
"@demon24ru/video-transcribe-mcp"
]
}
}
}
}McpServers
{
"video-transcribe-mcp": {
"command": "npx",
"args": [
"@demon24ru/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
1. Click "+ Add MCP Server" in Dive Desktop
2. Copy and paste this configuration:
{
"mcpServers": {
"video-transcribe": {
"command": "npx",
"args": [
"-y",
"@demon24ru/video-transcribe-mcp"
]
}
}
}
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
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