YouTube
This YouTube MCP server, developed by Anais Betts, enables AI assistants to interact with YouTube video content through subtitles. It leverages yt-dlp to download video subtitles and exposes them via a standardized MCP interface, allowing AI models to analyze and summarize video content without needing to process audio or video directly. By bridging AI systems and YouTube's vast repository of video information, this server facilitates tasks like content summarization, information extraction, and topic analysis from video transcripts. It is particularly useful for AI assistants supporting research, content curation, or educational applications that involve YouTube videos as information sources.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- social-media
- Source
- PulseMCP
- Repository
- github.com/anaisbetts/mcp-youtube
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve YouTube from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.