video-transcribe-mcp

Name: video-transcribe-mcp
Author: demon24ru

@demon24ru

关于 video-transcribe-mcp

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

#video-transcribe #mcp #llm-integration

基本信息

分类

媒体与设计

许可证

MIT license

运行时

node

传输方式

stdio

发布者

demon24ru

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

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