YouTube Transcript Downloader
This YouTube MCP server, developed by Sergey Parfenyuk, provides a bridge between the YouTube API and AI assistants using the Model Context Protocol. Built with Python and leveraging libraries like pydantic and typer, it currently offers functionality to download closed captions for given YouTube videos. The implementation focuses on simplicity and ease of use, making it ideal for developers and content creators who want to integrate YouTube transcript data into AI workflows. It's particularly useful for tasks like video summarization, content analysis, and accessibility improvements, enabling AI assistants to work with YouTube video content more effectively.
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/sparfenyuk/mcp-youtube
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve YouTube Transcript Downloader 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.