Is Youtube Summarize free?

Yes, Youtube Summarize is free to use.

How do I install Youtube Summarize?

Youtube Summarize is a local plugin. Install it using PyPI package: youtube-summarize and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

What AI apps work with Youtube Summarize?

Youtube Summarize uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Youtube Summarize MCP Server

by Zlatkoc

Content & MediaLow Risk10.0MCP RegistryLocal

Free

Server data from the Official MCP Registry

MCP server that fetches YouTube video transcripts and optionally summarizes them

About

MCP server that fetches YouTube video transcripts and optionally summarizes them

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.

3 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-zlatkoc-youtube-summarize": {
      "args": [
        "youtube-summarize"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

youtube-summarize

MCP server that fetches YouTube video transcripts and optionally summarizes them.

Demo — summarizing a YouTube video in Claude

Features

Fetch transcripts in multiple formats (text, JSON, SRT, WebVTT, pretty-print)
Video metadata — title, description, channel, upload date, duration, views, chapters (via yt-dlp)
Optional timestamps in plain-text transcripts
Summarize videos — returns transcript with the prompt clearly broken out for human review before the LLM acts on it
List playlist videos — fast enumeration of any public playlist with optional sorting
List available languages for any video's transcripts
Flexible URL parsing — accepts full YouTube URLs (youtube.com/watch?v=, youtu.be/, youtube.com/embed/, youtube.com/shorts/) or bare video IDs
Multi-language support — request transcripts in specific languages with fallback priority

Tools

`get_transcript`

Fetch a YouTube video's transcript. By default the response is prefixed with a [METADATA] block (title, channel, published, duration, views, description); pass include_metadata=false for transcript-only output.

Parameter	Type	Default	Description
`url`	string	required	YouTube video URL or video ID
`languages`	string[]	`["en"]`	Preferred languages in priority order
`format`	string	`"text"`	Output format: `text`, `json`, `pretty`, `webvtt`, `srt`
`preserve_formatting`	boolean	`false`	Keep HTML formatting tags in the transcript
`include_timestamps`	boolean	`false`	When `true` with `format="text"`, prefix each line with `[HH:MM:SS]`. Ignored for other formats (they already include timestamps).
`include_metadata`	boolean	`true`	Prepend a `[METADATA]` block before the transcript. Pass `false` for transcript-only output.

`summarize_transcript`

Fetch a transcript and return it with summarization instructions. The response is structured into clearly-labeled sections ([INSTRUCTIONS], [PROMPT_SOURCE], [VIDEO], [METADATA], [TRANSCRIPT]) so a human can review the prompt before letting the LLM act on it.

Parameter	Type	Default	Description
`url`	string	required	YouTube video URL or video ID
`prompt`	string	(default prompt)	Custom summarization instructions
`languages`	string[]	`["en"]`	Preferred languages in priority order
`include_timestamps`	boolean	`false`	Prefix each transcript line with `[HH:MM:SS]`.
`include_metadata`	boolean	`true`	Include a `[VIDEO]` block with title, channel, published, duration, views, and description.

`get_video_metadata`

Fetch metadata (title, description, channel, upload date, duration, views, tags, chapters, etc.) for a YouTube video. Backed by yt-dlp.

Parameter	Type	Default	Description
`url`	string	required	YouTube video URL or video ID

`list_playlist_videos`

List the videos in a YouTube playlist (title, ID, channel, duration, views, URL). Per-video metadata is intentionally lean so the call stays fast even for large playlists; call get_video_metadata with a specific video ID for full detail.

Parameter	Type	Default	Description
`url`	string	required	YouTube playlist URL (with `?list=...`) or bare playlist ID
`limit`	integer	`500`	Maximum videos to return
`sort_by`	string	`"index"`	One of: `index` (playlist order), `title`, `duration`, `views`. `upload_date` is not supported.
`order`	string	`"asc"`	`asc` or `desc`

`list_transcripts`

List available transcript languages for a video.

Parameter	Type	Default	Description
`url`	string	required	YouTube video URL or video ID

Installation

Quick start (recommended)

uvx youtube-summarize

Claude Desktop

Add to your claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "youtube-summarize": {
      "command": "uvx",
      "args": ["youtube-summarize"]
    }
  }
}

Claude Code

claude mcp add youtube-summarize -- uvx youtube-summarize

Other MCP clients

Run the server over stdio:

uvx youtube-summarize

Prerequisites

Python 3.13+
uv package manager

Development

# Install dependencies
uv sync

# Launch the MCP inspector (web UI for testing tools)
uv run mcp dev main.py

License

MIT

mcp-name: io.github.zlatkoc/youtube-summarize

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