YouTube Data API
YouTube MCP server by Kiryl Bahdanau that provides AI assistants with efficient access to YouTube data through the YouTube Data API v3, featuring token-optimized responses and MongoDB caching for performance. Built with TypeScript and the Model Context Protocol SDK, it offers tools for video search, channel statistics, trending content analysis, transcript extraction with key segment filtering, and an advanced niche analysis system that identifies emerging channels with consistent high-performance content. The implementation includes API quota tracking, engagement ratio calculations, and a sophisticated multi-phase analysis pipeline for discovering promising YouTube channels within specific topics and timeframes. Designed for content creators, marketers, and researchers who need structured YouTube data analysis without manually navigating the complexities of the YouTube API.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/kirbah/mcp-youtube
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve YouTube Data API 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.