Agents find files and read their contents to answer questions, read-only.
Productivity
Google Drive MCP server
Give AI agents governed access to the Google Drive MCP server through one audited gateway. Scoped permissions, full observability, and tamper-evident logs on every tool call.
What is the Google Drive MCP server?
The Google Drive MCP server is an open Model Context Protocol (MCP) server that connects AI agents to Google Drive files, folders, and documents. Through it an agent can search Drive, read and create files, and manage sharing without bespoke integration code, while the Averta MCP Gateway keeps every action scoped and audited.
gdrive-search-files
Search files and folders by name and content.
gdrive-read-file
Read the contents of a document or file.
gdrive-create-file
Create a new document or file.
gdrive-update-file
Update file contents and metadata.
gdrive-list-folders
List folders and their contents.
gdrive-share-file
Share a file with users or groups.
gdrive-move-file
Move files between folders.
gdrive-export-doc
Export a document to PDF or other formats.
gdrive-get-permissions
Read sharing permissions on a file.
gdrive-create-folder
Create a new folder in Drive.
Why the Averta MCP Gateway
Centralized governance
Unified authentication, audit logging, and rate control for every Google Drive MCP connection.
Observability and control
Real-time visibility into usage, anomalies, and SLA compliance across every request.
One-click deployment
Enable the Google Drive MCP server for your AI teams through one governed gateway, with no manual setup.
Enterprise hardening
High availability, security, and compliance alignment turn MCP from a developer utility into production-grade infrastructure.
OAuth and SSO enforcement
Enterprise authentication and SSO applied automatically to every Google Drive endpoint.
Shared and per-user auth
Configure service accounts or per-user access, with secrets protected and centralized revocation.
One managed endpoint
Connect agents to Google Drive through a single governed endpoint instead of locally run servers, improving your security posture.
Granular tool access control
Allow only the tools each role needs. Enable read-only access and block write tools like create and delete.
Works with every major AI platform
ChatGPT
Gemini
Mistral
Claude Code
Cursor
Windsurf
Cognition
OpenCode
Continue
Manus
Hermes
Lindy
OpenClaw
Your ownBuilt for enterprise teams.
Cloud, private VPC, embedded SDK, or gateway integration. Run Averta where your data, policies, and auditors need it.
Cloud (SaaS)
Fully managed by Averta. Fastest path to production, no infrastructure to run.
Private / VPC
Deploy in your own environment, so data never leaves your boundary.
Embedded SDK & Proxy
Drop Averta into your stack at the SDK or proxy layer, wherever your agents run.
Gateway Integration
Route agent traffic through the gateway, so policy and audit apply at the edge.
Google Drive MCP use cases
Where teams put the Google Drive MCP server to work, governed end to end through the Averta MCP Gateway.
Google Drive MCP · Document searchFind the latest vendor contract and summarize the terms.
YouFound the contract and summarized the terms.
- Searching Drive
- Reading the document
All actions logged and governed
Powering safe AI execution at leading teams.
Cyfrin secures its production AI agents with Averta.
Book a demo“Averta gave our agents enforceable boundaries for the dev environment, so instructions like ‘don’t read .env files’ became policy instead of polite suggestions.”
Mikhail Karan
Head of Engineering
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Google Drive MCP server, answered
Security and setup questions teams ask before connecting the Google Drive MCP server to AI agents.
Yes. The Averta MCP Gateway sits between your AI agents and any MCP server, giving each agent scoped, per-agent permissions, applying allow, escalate, or block policies on every tool call, and recording a tamper-evident audit of every action. The “Why the Averta MCP Gateway” section on this page covers what it enforces.
It is as safe as the controls around it. The server can read and share files through one token, so scoping and auditing are essential. The Averta MCP Gateway limits which files an agent can reach and records every action.
Yes. Tool-level policy lets read operations run automatically while sharing and permission changes escalate for approval, all recorded.
Route agents through Averta's MCP Gateway for scoped per-agent permissions, tool-level policy, and tamper-evident audit across every Google Drive action.
There are several Google Drive MCP servers, including community projects. Whichever one you run, routing it through the Averta MCP Gateway is what keeps each agent limited to the right files with a tamper-evident audit trail.
Any MCP-compatible client, including Claude and Claude Code, can connect to the Google Drive MCP server. Pointing those clients at the Averta MCP Gateway instead of the raw server adds scoped permissions, approval policies, and a tamper-evident log without changing the client setup.
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Book a demo and see how Averta OS secures your AI agents from input to execution.
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