zlatkoc/youtube-summarize

Overview

A Python-based MCP server that retrieves YouTube video transcripts and optionally generates summaries. It uses the Model Context Protocol to expose functionality to AI assistants and other tools.

Best for

Best for
Developers needing a lightweight MCP server to programmatically access and summarize YouTube video transcripts.

Use cases

• Extracting YouTube transcripts for text analysis or data processing
• Integrating with AI assistants to generate concise video summaries
• Building automated note-taking or content aggregation from YouTube videos

Notes

A Python-based MCP server that retrieves YouTube video transcripts and optionally generates summaries. It uses the Model Context Protocol to expose functionality to AI assistants and other tools.

3 stars on GitHub. Last updated 2026-05-02. Licensed MIT.

Use cases

• Extracting YouTube transcripts for text analysis or data processing
• Integrating with AI assistants to generate concise video summaries
• Building automated note-taking or content aggregation from YouTube videos

Pros

• Simple MCP-based architecture for easy integration with AI workflows
• Handles both raw transcript retrieval and optional summarization in one tool
• Written in Python, making it accessible for developers to extend or modify

Cons

• Limited to YouTube videos only, no support for other video platforms
• Low star count suggests a niche or early-stage project with limited community support
• Summarization quality and method are not specified, potentially varying by implementation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.