format37/youtube_mcp

Overview

A lightweight Python server that transcribes YouTube videos and exposes the functionality via the Model Context Protocol (MCP). It allows MCP-compatible clients to request transcriptions of video URLs.

Best for

Best for
Developers building MCP‑compatible tools that need quick YouTube audio‑to‑text functionality.

Use cases

• Integrating YouTube transcriptions into MCP-based AI assistants
• Extracting subtitles for content analysis or search indexing
• Building automated workflows that process video speech into text

Notes

A lightweight Python server that transcribes YouTube videos and exposes the functionality via the Model Context Protocol (MCP). It allows MCP-compatible clients to request transcriptions of video URLs.

31 stars on GitHub. Last updated 2025-07-21.

Use cases

• Integrating YouTube transcriptions into MCP-based AI assistants
• Extracting subtitles for content analysis or search indexing
• Building automated workflows that process video speech into text

Pros

• Open source and simple to deploy for Python developers
• Directly plugs into MCP ecosystems without custom integration
• Focused on a single, well-defined task

Cons

• Low community adoption (31 stars) may mean limited maintenance or support
• Relies on YouTube’s transcription availability and might break if APIs change
• No built-in language detection or error handling for non‑transcribed videos

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