AI agent for YouTube Data
Connect YouTube Data to your AI agent through the WorkAist MCP server.
The WorkAist YouTube Data connector is a production-grade Model Context Protocol (MCP) server. AI agents can read and write YouTube Data data — social media, ads — through one consistent interface. Open-source under AGPL-3.0, self-hosted, with reversible PII redaction at the LLM boundary.
Authentication & setup
The YouTube Data connector authenticates via Google OAuth 2.0.
WorkAist redirects you to the provider, you authorize, and the access token is encrypted and stored. No keys to copy.
Frequently paired with YouTube Data
FAQ
Can a WorkAist AI agent really automate YouTube Data end-to-end?▼
Yes. The connector exposes read and write tools through Model Context Protocol. AI agents call them through plain-language instructions in a CLAUDE.md file — no glue code.
How does this differ from using the YouTube Data API directly?▼
The connector adds permission isolation, audit logging, cost tracking per agent, and reversible PII redaction at the LLM boundary. It also presents YouTube Data as part of a unified Knowledge Graph alongside your other tools.
What does it cost?▼
WorkAist is open-source under AGPL-3.0 and self-hosted, so the connector itself is free. You pay only for YouTube Data's own API costs (if any) and the LLM tokens your agent consumes.
Is my YouTube Data data sent to a third party?▼
No. WorkAist runs in your own infrastructure. Data flows from YouTube Data → your WorkAist instance → the LLM you choose. Sensitive fields can be tokenized before reaching the LLM.
What if YouTube Data changes its API?▼
The connector is versioned and published openly. When YouTube Data ships breaking changes, we bump the connector version and the marketplace UI surfaces the upgrade as a one-click apply.