Google Drive MCP Server
Connect to the Google Drive MCP server to search, read, create, and manage files and folders across your Drive using AI agents on Gumloop, Claude, or Cursor.
Tools
Search
Search for files and folders in Google Drive with granular filtering options. Unless user explicitly mentions search, always resort to URLs or IDs and directly call tools instead of searching.
Copy File
Create a copy of the specified file.
Create Folder Subfolder
Create folders and subfolders in Google Drive.
Move File
Move a file from one folder to another.
Create Plain Text File
Create a new file from plain text.
Upload File
Upload a file from Gumloop storage to Google Drive.
Download File
Download a file from Google Drive to Gumloop storage.
Add File Sharing Preference
Adds a sharing scope to the sharing preference of a file. Does not remove existing sharing settings. Provides a sharing URL.
Update Name
Update the name of a file or folder.
Get File
Get comprehensive file information including metadata and optionally read content from various file types.
List Contents
List all files and folders. If folder is specified, lists contents of that folder recursively.
Delete
Delete a file or folder from Google Drive. For folders with contents, use recursive_delete option.
Installation Steps
Get StartedCreate a Gumloop Account
To use this MCP, you need a Gumloop account. If you don't have one yet, you can create one for free.
Copy Your Server URL
Copy your MCP server URL and add it to your client. You'll be prompted to authorize on first use.
What is Google Drive MCP?
The Google Drive MCP server gives AI agents access to your entire Drive. That means searching for Google Drive files, reading document content from Google Docs and Google Sheets, creating folders, copying and renaming files, managing sharing permissions, uploading and downloading files, and working with shared drives. It works across all Google Workspace file types.
If you spend any amount of time digging through Drive folders, manually organizing files, or copying data between Drive and other tools, this kind of automation removes a lot of that friction. You describe what you need and your AI agent handles the file operations.
MCP stands for Model Context Protocol. It’s an open standard that gives AI agents a way to connect to external tools and services. Instead of writing code against the Google Drive API, setting up OAuth 2.0 authentication, or configuring a service account in Google Cloud, you connect the Google Drive MCP server and let your AI agent handle file management through natural language.
What you can do with Google Drive MCP on Gumloop
Search across your entire Drive using natural language — Find Google Drive files and folders without clicking through nested directories. Filter by file names, file type, owner, or document content. The MCP tool queries the Google Drive API endpoint and returns results with full metadata.
Read file content from Docs, Sheets, and more — Pull text from Google Docs, data from a spreadsheet in Google Sheets, or metadata from any file type. Your AI agent can summarize document content, extract key details, or compare files. Returns data in clean formats like markdown or JSON.
Create new files and folders — Generate new documents from plain text, create folder structures, and organize your Drive programmatically. The create folder functionality works for both personal Drive and shared drives.
Copy, move, and rename files — Reorganize your Google Drive files by moving them between folders, creating copies, or renaming them. Useful for automated file management workflows where you need consistent naming conventions.
Manage sharing permissions — Add sharing scopes to files and generate sharing URLs. Control who can access what, whether that’s readonly access or full edit permissions. This works at both the file and folder level.
Upload and download files — Move files between Gumloop storage and Google Drive. Useful for workflows that process files from other sources and need to save results to a specific Drive folder.
List and inventory folder contents — Get a full list of files and folders, including recursive listing of subfolders. Helpful for content audits, file management dashboards, or just getting a snapshot of what’s in a specific directory.
Read and write to Google Sheets — Beyond basic file access, the MCP server can interact with spreadsheet data directly. Read specific cell ranges, write new data, and use Sheets as a lightweight database for your workflows.
How to connect the Gumloop Google Drive MCP Server
Step 1: Create a free Gumloop account
Sign up at gumloop.com. No credit card required.
Step 2: Add the Google Drive MCP server
Copy your MCP server URL from Gumloop and add it to your preferred client (Claude, Cursor, or Gumloop workflows). You'll authorize on first use.
Step 3: Start using Google Drive in your AI workflows
That's it. Your AI agent can now search, read, create, and manage Google Drive files across your entire Drive and shared drives. Use it inside a Gumloop automation, in Claude Desktop, or in Cursor.
Google Drive MCP use cases
Automated document filing for operations teams
When new files come in from clients, vendors, or internal teams, a Gumloop workflow can automatically sort them into the right folders based on file names, document content, or sender. You set up the rules once, and the automation handles file management from there. No more manual drag-and-drop in Google Drive.
AI-powered document summarization
Point your AI agent at a folder of reports, proposals, or meeting notes in Google Docs. It reads each document, generates a summary using an LLM (Claude, Gemini, or whatever model you prefer), and compiles everything into a single doc or Slack message. Useful for weekly leadership updates or getting new team members up to speed without asking them to read 30 files.
Content workflow automation for marketers
After a blog post is drafted in Google Docs, a Gumloop workflow can read the doc, run it through an AI editor for feedback, create a copy in a "Ready for Review" folder, and notify the team in Slack. Your content moves through the pipeline without anyone manually touching Drive. You can even use templates to standardize the output format.
Client deliverable organization for agencies
Agencies managing multiple clients can automate folder creation, file naming conventions, and sharing permissions. When a new project kicks off, a workflow creates the folder structure in Google Drive, sets the right permissions, and drops template files into each folder. No more setting up the same Google Workspace structure manually for every new client.
Cross-platform data sync and reporting
Pull data from another MCP tool (CRM, project management, email), process it with an AI agent, and save the results to a specific Google Drive folder as a formatted document. You can output to Google Docs, Google Sheets, or even markdown files. Useful for generating weekly reports, meeting prep docs, or competitive analysis that lives in a shared drive your whole team can access.
Why use Gumloop for Google Drive MCP
No OAuth setup, no service accounts, no GCP projects — Most Google Drive MCP servers you’ll find on GitHub require you to create a Google Cloud project, set up an OAuth consent screen, generate a client ID and client secret, configure env variables, and manage authentication tokens. Gumloop handles all of that. You don’t need to touch the Google Drive API, IAM settings, or any config files directly.
Works with multiple MCP clients — Use the Google Drive MCP server endpoint in Claude Desktop, Cursor, or directly inside Gumloop workflows. Same server URL, works with any MCP client.
Chain Google Drive with 100+ other integrations — Combine Google Drive files with Slack, Gmail, Salesforce, Notion, and other MCP tools in a single workflow. Pull data from one tool, process it with an LLM, and save the output to Drive automatically.
Enterprise-grade and scalable — SOC 2 compliant, built for teams, with role-based permissions and dedicated support for Pro users. Works for solo operators and larger organizations on Google Workspace.
Pricing includes a free plan — You can test the Google Drive MCP integration on Gumloop’s free tier before committing. Paid plans start at $37/month.
Frequently asked questions
What is Google Drive MCP?
Google Drive MCP is a Model Context Protocol server that gives AI agents access to your Google Drive. It provides functionality for searching, reading file content, creating folders, copying and moving Google Drive files, and managing sharing permissions through a standardized endpoint that works with MCP clients like Claude, Cursor, and Gumloop.
Is Google Drive MCP free to use?
Gumloop has a free plan that includes access to MCP integrations, including Google Drive (or gdrive). Paid pricing starts at $37/month with higher usage limits and additional features.
Do I need to set up Google Cloud credentials or a service account?
No. Gumloop handles Google authentication for you. You don’t need to create a GCP project, configure an OAuth consent screen, set up a client ID and client secret, or manage service account credentials. Just connect your Google account through Gumloop and you’re set.
What AI clients work with the Gumloop Google Drive MCP server?
Any MCP client that supports the Model Context Protocol. That includes Claude Desktop, Cursor, Gemini-based tools, and Gumloop’s built-in workflow builder. You can also connect it through frameworks like LangChain if you’re building custom AI agents.
Can I combine Google Drive MCP with other integrations?
Yes. With AI agents in Gumloop, you can chain Google Drive with any other MCP integration in the same automation. For example, pull data from Salesforce, have an AI agent generate a report, and save it directly to a shared Drive folder as a Google Doc.
Is my Google Drive data secure?
Gumloop is SOC 2 compliant and doesn’t store your Google Drive file content. The MCP server processes requests in real-time without retaining data. Your files stay in Google Drive.
Can I access shared drives and team folders?
Yes. The Google Drive MCP server can access both your personal Drive and shared drives, depending on the permissions of the connected Google account. It supports readonly access and full read-write depending on how the Google Workspace admin has configured things.
What file types does the Google Drive MCP support?
It works with all Google Workspace file types including Google Docs, Google Sheets, Slides, and regular uploaded files (PDFs, images, CSVs, etc.). The MCP server can read document content, pull spreadsheet data, and handle metadata for any file type stored in Drive.
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