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video-transcribe-mcp

@demon24ru

About video-transcribe-mcp

An MCP server implementation that integrates with optivus, providing video transcribe capabilities (e.g. YouTube, Facebook, Tiktok, etc.) for LLMs

Basic information

Category

Media & Design

License

MIT license

Runtime

node

Transports

stdio

Publisher

demon24ru

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "video-transcribe-mcp": {
      "command": "npx",
      "args": [
        "@demon24ru/video-transcribe-mcp"
      ]
    }
  }
}

Tools

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Overview

What is video-transcribe-mcp?

video-transcribe-mcp is an MCP server that integrates with optivus to provide video transcription capabilities for LLMs. It can transcribe videos from platforms like YouTube, Facebook, and TikTok, as well as local video and image files, converting them to text for downstream processing.

How to use video-transcribe-mcp?

Install via npx @demon24ru/video-transcribe-mcp or configure in Dive Desktop using the provided JSON configuration. Once set up, instruct your LLM to transcribe a video by providing a URL, local file path, or image path.

Key features of video-transcribe-mcp

  • Transcribe video to text from URLs
  • Transcribe local video files to text
  • Transcribe images to text
  • Works with Dive and other MCP-compatible LLMs
  • Integrates with optivus

Use cases of video-transcribe-mcp

  • Transcribing YouTube content for summarization or analysis
  • Extracting text from local video files for processing
  • Converting image text into machine-readable format
  • Feeding video content as text input to LLMs

FAQ from video-transcribe-mcp

What does video-transcribe-mcp do?

It transcribes videos from URLs (YouTube, Facebook, TikTok, etc.) and local files into text, making that text available to LLMs via the MCP protocol.

What are the requirements?

Node.js 20+ and an MCP-compatible LLM service are required.

How do I install video-transcribe-mcp?

Run npx -y @demon24ru/video-transcribe-mcp manually, or paste the provided JSON configuration into Dive Desktop to add it as an MCP

Comments

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