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video-transcribe-mcp

video-transcribe-mcp

Local
github.com/demon24ruMedia & Design4Updated 82w ago

About video-transcribe-mcp

video-transcribe-mcp is an MCP server that transcribes video URLs, local video files, and images into text. It is intended for MCP-compatible LLM clients and integrates with optivus.

Key features

  1. 01Transcribe video URLs
  2. 02Transcribe video files
  3. 03Transcribe images

Use cases

  1. 01Extract text from a YouTube video
  2. 02Convert a local video file to text
  3. 03Transcribe text in an image

MCP support

It exposes video and image transcription tools to MCP clients, including `transcribe_video`, `transcribe_video_file`, and `transcribe_image`.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"video-transcribe": {
"command": "npx",
"args": [
"-y",
"@demon24ru/video-transcribe-mcp"
]
}
}
}
Run commandnpx -y @demon24ru/video-transcribe-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@demon24ru/video-transcribe-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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"
      ]
    }
  }
}
  1. 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

Comments

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