Google Workspace MCP
Give AI agents governed hands on Gmail, Drive, Sheets, and Calendar via MCP
A Model Context Protocol integration lets autonomous AI agents work directly inside Google Workspace — reading and searching Drive, drafting and labeling Gmail, updating Sheets, and managing Calendar events on your behalf. Agents act through scoped, permissioned tools rather than screen-scraping, so every action stays inside your Workspace identity and audit trail. This turns Workspace from a place people click into a surface agents can operate.
Search threads, read messages, create drafts, apply and manage labels, and flag sensitive mail without sending unattended.
Search files, read and download content, create and copy files, and inspect permissions across My Drive and shared drives.
List, search, create, update, and respond to events, and suggest meeting times across attendees and calendars.
Read structured ranges, append and update rows, and sync spreadsheet data with external systems as a live agent memory.
An agent searches Gmail, classifies inbound threads, labels them, and prepares draft replies for human approval — clearing routine mail while keeping a person on send.
Agents search and read across Drive and Docs to answer questions grounded in your real files, then draft summaries or briefs back into a new Doc.
An agent reads intent from a thread, checks attendee availability, suggests times, and books the Calendar event with the right invitees and context.
Only if you choose that. We default to human-in-the-loop for irreversible actions — agents draft mail and stage changes for approval, while read, search, and labeling can run unattended within scoped permissions.
MCP access uses OAuth with narrow scopes and your own Workspace identity, so agents inherit existing sharing rules and appear in admin audit logs. Nothing bypasses your permission model.
Commonly Gmail, Drive, Docs, Sheets, and Calendar. We enable exactly the tools a workflow needs and leave the rest disconnected, so each agent has a deliberately minimal surface.
Let's grow.
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