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rippr MCP Server

@mrslbt

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

mrslbt

提交者

Marsel Bait

关于 rippr MCP Server

Rip any YouTube transcript. Clean text, structured JSON, or Markdown for AI agents.

#mcp#youtube#transcript#ai-agents#chrome-extension#open-source

rippr MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "rippr": {
      "command": "npx",
      "args": [
        "rippr-mcp"
      ]
    }
  }
}

rippr MCP Server 工具

1

Extract the full transcript from a YouTube video. By default, saves the transcript as a Markdown file to disk and returns a resource_link + metadata (title, channel, language, duration, word count, saved path, preview). The full transcript text is NOT returned by default — this keeps context lean and gives the user a persistent file they can reuse. After calling, always tell the user where the file was saved. If you need the transcript text later (summarize, search, extract quotes), read the returned resource rather than re-ripping. Pass return_text: true only for short clips or when the user explicitly asks for the transcript inline. Pass format: 'segments' to save timestamped JSON instead of Markdown.

概览

What is rippr?

rippr rips any YouTube transcript and outputs it as clean text, structured JSON, or Markdown, designed for use by AI agents.

How to use rippr?

—

Key features of rippr

  • Rips transcripts from any YouTube video.
  • Outputs clean text, structured JSON, or Markdown.
  • Designed specifically for AI agent consumption.

Use cases of rippr

  • Providing AI agents with clean transcripts of YouTube videos.
  • Obtaining structured JSON data from video content.
  • Generating Markdown summaries of YouTube video transcripts.

常见问题

1

What output formats does rippr support?

The README states it provides clean text, structured JSON, or Markdown.

2

Can rippr rip transcripts from any YouTube video?

The README says "Rip any YouTube transcript", implying all publicly accessible videos are supported.

3

Who is rippr intended for?

The README specifies that it is "for AI agents."

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