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youtube-relay-mcp

v1.3.0

Published

Code-execution-based YouTube tool — CLI (ytrelay) + MCP shim + Claude Code skill. Search YouTube, fetch transcript/title/description, get an embeddable video ID.

Downloads

326

Vulnerabilities

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  • 0Medium
  • 0Low

Links

Git

Maintainers

tamas_gabortamas_gabor

Keywords

youtubetranscriptsearchmcpcliclaudeagentcode-execution

Readme

youtube-relay-mcp

A deep-research tool for YouTube for AI agents — a TypeScript CLI (ytrelay), an MCP server (youtube-relay-mcp), and a Claude Code skill. Cast a wide net, rank candidates cheaply on metadata, peek before committing, and read full transcripts only for the finalists. One engine: youtubei.js.

Status: all four commands work — enriched, captioned-only-by-default search (views, recency, verified, snippet); rich info (full description, chapters, caption availability); transcripts via the signed timedtext caption URL (no PO token / external binary); a peek tier (--head/--max-chars); and batch + stdin ergonomics. The bundled SKILL.md teaches the recommended funnel.

Install

npm i -g youtube-relay-mcp

CLI

Every command prints a JSON envelope to stdout.

ytrelay search "agentic engineering" --limit 30 --sort views   # cheap, enriched, captioned-only
ytrelay info <id|url> [<id> ...]      # full description + chapters + caption info (batch ok)
ytrelay transcript <id|url> --head 120   # PEEK: first 2 min; or --max-chars N
ytrelay context <id|url>              # metadata + full transcript + embed in one shot
ytrelay frame <id|url> --at 1:30      # high-res still frame at a timestamp (needs ffmpeg + yt-dlp)

frame extracts full-resolution stills at exact timestamps (pairs with transcript startMs to see a moment). It's the only command needing external binaries (ffmpeg + yt-dlp on PATH); the rest are pure-Node.

The funnel (see SKILL.md): rank on cheap search metadata → enrich the shortlist with info → peek finalists with transcript --head → full read only the survivors. --features all widens search beyond captioned videos. Every result carries embedUrl (https://www.youtube.com/embed/<id>).

Why a CLI + skill (not a standalone MCP server)

The task is a stateless search/fetch pipeline. An agent shells out to the CLI, taught by the bundled SKILL.md. The MCP shim is provided for parity and non-CLI hosts. See PLAN.md for the full design rationale.

Development

bun install
bun run check     # typecheck + lint + test
bun test --watch  # TDD
bun run build     # → dist/

License

MIT © Tamas Gabor