Kirbah Mcp Youtube
Pull structured, token-efficient YouTube metadata and transcripts into your agent for competitor scans, content briefs, and research-backed shipping decisions.
Overview
ai.smithery/kirbah-mcp-youtube is a Grow-phase MCP server that supplies token-optimized structured YouTube data to LLM applications through Smithery.
What is this MCP server?
- Token-optimized structured YouTube data designed for LLM context budgets
- Smithery-hosted MCP remote (streamable-http) with Bearer smithery_api_key auth
- Catalog version 0.2.6 from github.com/kirbah/mcp-youtube
- Supports agent workflows that summarize channels, compare videos, or ground answers in public video text
- Fits indie builders validating niches via creator ecosystems on YouTube
- Catalog server version 0.2.6
- Transport: streamable-http via server.smithery.ai/@kirbah/mcp-youtube/mcp
- Repository: github.com/kirbah/mcp-youtube
Community signal: 18 GitHub stars.
What problem does it solve?
Pasting YouTube pages or bloated scrape payloads into your agent burns tokens and still leaves you with messy, hard-to-query video context.
Who is it for?
Solo builders doing content-led growth who want fast, agent-native YouTube research without building a custom ingestion pipeline.
Skip if: Teams that need guaranteed caption licensing for production redistribution, offline bulk video archives, or YouTube workflows with no LLM in the loop.
What do I get? / Deliverables
After registration, your agent can request compact structured YouTube fields suitable for summaries, comparisons, and content planning in one thread.
- Agent-accessible YouTube structured payloads sized for LLM context
- Smithery streamable-http MCP connection (version 0.2.6 catalog entry)
- Faster content and competitor research loops without custom scrapers
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Journey fit
YouTube intelligence most often compounds after launch when you study creators, keywords, and formats to grow distribution—not when you first scaffold code. Content subphase covers research on channels, videos, and messaging patterns that inform posts, landing copy, and editorial calendars.
How it compares
Structured YouTube data MCP—not a video editor, hosting platform, or SEO rank tracker.
Common Questions / FAQ
Who is ai.smithery/kirbah-mcp-youtube for?
It is for developers and solo founders who use coding agents to research YouTube channels and videos while planning content or positioning.
When should I use ai.smithery/kirbah-mcp-youtube?
Use it in Grow when you analyze competitor videos, draft content from public transcripts, or need compact video facts inside agent workflows.
How do I add ai.smithery/kirbah-mcp-youtube to my agent?
Configure the Smithery MCP remote URL in your client, pass Bearer {smithery_api_key} in Authorization, and invoke the server’s YouTube tools from your agent session.