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AI agent for Google Docs

Connect Google Docs to your AI agent through the WorkAist MCP server.

In 60 seconds

The WorkAist Google Docs connector is a production-grade Model Context Protocol (MCP) server. AI agents can read and write Google Docs data — spreadsheets — through one consistent interface. Open-source under AGPL-3.0, self-hosted, with reversible PII redaction at the LLM boundary.

Authentication & setup

The Google Docs connector authenticates via Google OAuth 2.0.

One-click OAuth setup

WorkAist redirects you to the provider, you authorize, and the access token is encrypted and stored. No keys to copy.

Frequently paired with Google Docs

FAQ

Can a WorkAist AI agent really automate Google Docs 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 Google Docs API directly?

The connector adds permission isolation, audit logging, cost tracking per agent, and reversible PII redaction at the LLM boundary. It also presents Google Docs 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 Google Docs's own API costs (if any) and the LLM tokens your agent consumes.

Is my Google Docs data sent to a third party?

No. WorkAist runs in your own infrastructure. Data flows from Google Docs → your WorkAist instance → the LLM you choose. Sensitive fields can be tokenized before reaching the LLM.

What if Google Docs changes its API?

The connector is versioned and published openly. When Google Docs ships breaking changes, we bump the connector version and the marketplace UI surfaces the upgrade as a one-click apply.

Source code on GitHub · Licensed under AGPL-3.0 · Self-hosted, your data stays yours.