YouTube Summarizer
This MCP server, developed by an unknown author, integrates with a YouTube summarization API to provide AI-powered video analysis capabilities. Built with Python and leveraging the Flask framework, it offers tools for initiating video summarization, retrieving summaries, and engaging in follow-up conversations about the content. The implementation focuses on abstracting the underlying API complexities, providing a clean interface for AI agents to interact with video data. It's particularly useful for applications needing automated content analysis, enabling use cases such as research assistance, content moderation, or educational support without directly handling YouTube video processing.
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
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve YouTube Summarizer 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.