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Scribefy MCP Server

@MKirovBG

Repository

Basic information

Category

Media & Design

Transports

stdio

Author

MKirovBG

Submitted by

M K

About Scribefy MCP Server

Extract timestamped YouTube transcripts — plus video search, metadata, and related-video tools — for Claude, Cursor, Windsurf, and any MCP client.

#youtube#transcript#transcription#video#subtitles#captions#search#ai#automation

Scribefy MCP Server config

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

{
  "mcpServers": {
    "scribefy": {
      "command": "npx",
      "args": [
        "-y",
        "scribefy-mcp"
      ],
      "env": {
        "SCRIBEFY_API_KEY": "sk_live_…"
      }
    }
  }
}

Scribefy MCP Server tools

4

Pulls the transcript of a YouTube video and returns it as Markdown with timestamps. Use this whenever the user provides a YouTube URL and wants to summarise, quote, search, or otherwise process the video's spoken content. Costs credits on first fetch (1 credit ≤15min, 2 credits 15–45min, 4 credits 45min–2h, 8 credits 2h+). Cached extractions are free — videos other Scribefy users have already extracted are cached for 30 days. Returns the title, channel, duration, language, and the transcript itself split into segments with clickable timestamps.

Search YouTube for videos matching a query string. Returns up to `limit` results (default 10, max 25) with title, channel, duration, view count, and URL. Free — no credits charged. Use this when the user asks 'find me videos about X' before chaining into extract_transcript on a specific result.

Look up title, channel, duration, view count, upload date, and available caption tracks for a video. Does NOT pull the transcript — use extract_transcript for that. Free — no credits charged. Useful to inspect a video before deciding whether to extract, or to discover which caption languages are available.

Return the videos YouTube recommends after a given video — the 'Up next' / 'Related' feed. Returns up to `limit` results (default 10, max 25). Free — no credits charged. Use this to expand research from a single starting video, or to find adjacent content.

Overview

What is Scribefy?

Scribefy is a YouTube research toolkit for AI workflows. It enables MCP-compatible clients to pull clean, timestamped YouTube transcripts, along with search, metadata, and related videos.

How to use Scribefy?

Obtain an API key from scribefy.app (API + MCP plan), configure the MCP server with SCRIBEFY_API_KEY in the environment, then restart your client. The four Scribefy tools appear automatically. Setup guides are available for Cursor, Windsurf, and ChatGPT.

Key features of Scribefy

  • Extract full YouTube transcripts with timestamps.
  • Search videos by free-text query.
  • Retrieve video metadata: title, channel, duration, views.
  • Fetch related videos from YouTube's "Up next" feed.
  • Works with Claude, Cursor, Windsurf, ChatGPT, and more.

Use cases of Scribefy

  • Analyze video content programmatically without manual copy-pasting.
  • Extract and timestamp transcripts for summarization or analysis.
  • Discover related videos for content research and curation.
  • Search YouTube for specific topics directly from an AI assistant.
  • Retrieve metadata for many videos to build datasets.

Frequently asked questions

1

What do I need to use Scribefy?

You need an API key (obtained from scribefy.app on the API + MCP plan) and an MCP-compatible

Comments

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