HasData/youtube-mcp
by Various
Hosted YouTube MCP server from HasData, no Google Cloud project needed. Search, video, channel and transcript tools for Claude, Cursor and any MCP client.
MCP
HasData/youtube-mcp
Added 16 Sept 2026
Overview
HasData/youtube-mcp is a hosted YouTube MCP server that provides search, video, channel, and transcript tools. It requires no Google Cloud project setup and works with Claude, Cursor, and any MCP client.
Best for
Best for
Developers who need quick YouTube data access without managing Google Cloud credentials
Use cases
- Search YouTube videos and retrieve metadata through MCP
- Fetch video transcripts for analysis or summarization
- Integrate YouTube channel data into MCP-based workflows
How to use
Tools exposed
hasdata_youtube_channel_getYoutubeChannelhasdata_youtube_video_getYoutubeVideofilters__
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code
Notes
HasData/youtube-mcp is a hosted YouTube MCP server that provides search, video, channel, and transcript tools. It requires no Google Cloud project setup and works with Claude, Cursor, and any MCP client.
6 stars on GitHub. Last updated 2026-09-14. Licensed MIT.
Use cases
- Search YouTube videos and retrieve metadata through MCP
- Fetch video transcripts for analysis or summarization
- Integrate YouTube channel data into MCP-based workflows
Pros
- No Google Cloud project or API key management needed
- Works with multiple MCP clients out of the box
- Hosted service simplifies deployment
Cons
- Low community traction with only 6 GitHub stars
- Relies on HasData’s hosted infrastructure, which may have usage limits
- Limited documentation or examples due to early stage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- No Google Cloud project or API key management needed
- Works with multiple MCP clients out of the box
- Hosted service simplifies deployment
Cons
- Low community traction with only 6 GitHub stars
- Relies on HasData's hosted infrastructure, which may have usage limits
- Limited documentation or examples due to early stage
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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