Connect AI to Google Workspace around a specific task and the permissions of its user. Begin by checking an available built-in connector. A custom MCP server, direct API integration or Apps Script bridge may be appropriate when that connector does not meet the requirement.
The Architecture: AI → MCP → Google Apps Script → Workspace
AI to MCP to Apps Script to Workspace is one possible architecture, not a required chain. Map which component authenticates the user, calls Google and sends data to the model. Built-in connectors may remove custom bridge work. Apps Script can simplify some Google tasks, but it does not remove authorization, runtime limits or maintenance.
What You Can Actually Do
List the required operations separately: find a file, read a range, draft a message or change an event. Support differs by connector and account. Live access, synchronized search and uploaded copies have different freshness behavior. Confirm the source returned, the permissions used and whether a write needs approval; do not infer capabilities from the service name.
The MCP Layer
Use MCP when a compatible client-server interface is useful for the selected tools. Define narrow inputs, permitted resources and explicit error results. MCP does not guarantee local-only processing or accuracy. Identify the host, server and model locations and the data each receives. A cloud connector may use the provider's infrastructure even when the source is yours.
Building the Bridge: Google Apps Script
If using an Apps Script web app, choose whether it executes as its owner or the accessing user; that choice changes authority. Request the least permissive OAuth scopes that support the task. Check current quotas and deployment instructions. Design authentication, input validation, retry behavior and failure reporting rather than exposing a generic unrestricted action endpoint.
Access Control
Test the intended user and a user without access to the same record. Confirm that revoked permissions stop access and that a bridge running as its owner does not bypass user-level restrictions. Prompts are not authorization controls. Restrict writes to approved operations and decide which actions require human confirmation before they reach Google.
Common Pitfalls
File support depends on the connection path. Anthropic's documented Drive connector extracts text and does not process embedded images; Gmail attachment content is also a separate limitation. Other tools have different behavior. Test scans, tables and Office files before migration. OCR or multimodal processing can make errors, so validate important content and citations.
What This Looks Like in Practice
Validate a complete permitted workflow: ask a question, retrieve the relevant record, check its current status and review the answer against the source. Then test an unavailable source and an access denial. For writes, verify the intended change and recovery procedure. Use approved existing records or permissioned copies; do not invent business data to demonstrate success.
Getting Started
Document the required service, actions, user role, file types and freshness expectations. Check the current account's connector availability and organizational controls before choosing a plan or architecture. Use the MCP and API comparison below to decide whether custom work is justified. Agree a rollout scope after the permissions and workload tests.