SubDownload/subdownload-mcp
by Various
Public MCP wrapper for SubDownload.Fetch YouTube transcripts, search videos, browse channels and playlists — instant YouTube data for your AI workflow.
MCP
SubDownload/subdownload-mcp
Added 1 June 2026
Overview
SubDownload/subdownload-mcp is a public Model Context Protocol wrapper for the SubDownload service. It provides functions to fetch YouTube video transcripts, search for videos, and browse channels and playlists, exposing YouTube data to AI workflows via a standardized interface.
Best for
Best for
Developers building AI tools that need structured access to YouTube transcripts and video metadata
Use cases
- Fetch YouTube video transcripts for analysis or summarization
- Search for YouTube videos by query and retrieve metadata
- Browse channels and playlists to gather video listings
Notes
SubDownload/subdownload-mcp is a public Model Context Protocol wrapper for the SubDownload service. It provides functions to fetch YouTube video transcripts, search for videos, and browse channels and playlists, exposing YouTube data to AI workflows via a standardized interface.
3 stars on GitHub. Last updated 2026-04-27. Licensed MIT.
Use cases
- Fetch YouTube video transcripts for analysis or summarization
- Search for YouTube videos by query and retrieve metadata
- Browse channels and playlists to gather video listings
Pros
- Provides a simple, standardized MCP interface for YouTube data access
- Focuses on transcripts and search, which are common needs in AI tooling
- Written in JavaScript, easy to integrate into Node.js environments
Cons
- Low star count (3) suggests limited community adoption and potential instability
- Depends on the SubDownload service, which may have its own rate limits or availability issues
- No mention of error handling or authentication details, requiring user trial and error
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides a simple, standardized MCP interface for YouTube data access
- Focuses on transcripts and search, which are common needs in AI tooling
- Written in JavaScript, easy to integrate into Node.js environments
Cons
- Low star count (3) suggests limited community adoption and potential instability
- Depends on the SubDownload service, which may have its own rate limits or availability issues
- No mention of error handling or authentication details, requiring user trial and error
Pairs with
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