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video-transcribe-mcp

by @demon24ru

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

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What is video-transcribe-mcp?

This is an MCP (Model Context Protocol) server that enables LLMs to transcribe video and image content from various sources, including URLs and local files. It integrates with optivus to provide video transcribe capabilities.

How to use video-transcribe-mcp?

To use this server, add it as an MCP server in Dive Desktop using the provided configuration. Then, instruct your LLM to transcribe videos or images using the specified tool names and input parameters (e.g., transcribe_video with a video URL).

Key features of video-transcribe-mcp

  • Video Transcribe

  • MCP Integration

  • Supports video URLs

  • Supports video files

  • Supports image files

Use cases of video-transcribe-mcp

  • Transcribing YouTube videos for LLM analysis

  • Extracting text from video files for summarization

  • Analyzing image content with LLMs

  • Integrating video transcription into AI workflows

  • Automated content analysis

FAQ from video-transcribe-mcp

What is MCP?

MCP stands for Model Context Protocol. It's a standard for connecting LLMs with external tools and services.

What video platforms are supported?

The server supports various video platforms, including YouTube, Facebook, and TikTok.

What file types are supported?

The server supports video and image files.

What Node.js version is required?

Node.js version 20 or higher is required.

How do I debug the server?

You can start the server in debug mode using the command: npm run prepare && npx @modelcontextprotocol/inspector node ./lib/index.mjs -y