Connect AI Agents to
Google Drive
Automate workflows and connect AI agents to Google Drive. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
Connect AI Agents to
Google Drive on Metorial
The Google Drive integration lets you search, read, and manage files and folders in your Google Drive directly through Claude. Use it to access documents, create new files, organize content, and collaborate on shared resources without leaving your conversation.
Deploy on MetorialCombine Google Drive with other tools
Metorial has 600+ integrations available. Here are some related ones you might find interesting.
GitHub
The GitHub integration lets you search and view repositories, manage issues and pull requests, read file contents, and interact with your GitHub account directly from your workspace.
Slack
The Slack integration lets you read channels, send messages, and search conversations directly from your AI assistant, enabling seamless team communication and information retrieval without leaving your workflow.
Gmail
The Gmail integration lets you read, search, send, and manage your email messages directly through AI conversations, enabling automated email workflows and intelligent inbox management.
Google Calendar
The Google Calendar integration lets you view, create, update, and manage calendar events directly from your workflow, enabling seamless scheduling and calendar management without switching applications.
Supabase
The Supabase integration lets you query and manipulate your database tables, manage authentication, and interact with storage buckets directly from your AI assistant. Use it to build applications, analyze data, or automate database operations without leaving your workflow.
Google Drive
The Google Drive integration lets you search, read, and manage files and folders in your Google Drive directly through Claude. Use it to access documents, create new files, organize content, and collaborate on shared resources without leaving your conversation.
Netlify
The Netlify integration lets you deploy sites, manage builds, configure domains, and update environment variables directly from your development workflow, streamlining your hosting and deployment operations.
Firecrawl
The Firecrawl integration lets you scrape and convert websites into LLM-ready markdown directly within your workflow, enabling you to extract clean, structured content from any URL for analysis, summarization, or knowledge base building.
Hugging Face
The Hugging Face integration lets you search and explore models, datasets, and Spaces directly from your development environment, making it easy to discover the right pre-trained models and resources for your machine learning projects.
Connect anything. Anywhere.
Supported tools and capabilities
Metorial helps you connect AI agents to Google Drive with various tools and resources. Tools allow you to interact with perform specific actions, while resources provide read-only access to data and information.
list_files
List files and folders in a specific folder or at the root of Google Drive
search_files
Search for files across Google Drive using queries
create_folder
Create a new folder in Google Drive
upload_file
Upload a new file to Google Drive
delete_file
Delete a file or folder from Google Drive
move_file
Move a file or folder to a different location
copy_file
Create a copy of a file
update_file_metadata
Update metadata for a file or folder (name, description, etc.)
share_file
Share a file or folder with users or create a shareable link
list_permissions
List all permissions for a file or folder
file-metadata
Access detailed metadata for a specific file or folder
file-content
Access the actual content of a file (text files, exported Google Docs, etc.)
Help & Documentation
Find guides and articles to help you get started with Google Drive on Metorial.
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Google Drive MCP Server
A Model Context Protocol (MCP) server that enables seamless integration between AI assistants and Google Drive. This server allows AI models to interact with your Google Drive files and folders through natural language commands, making file management and content access effortless.
Overview
The Google Drive MCP Server bridges the gap between AI assistants and your Google Drive storage. By exposing Google Drive's functionality through the Model Context Protocol, this server enables AI models to help you manage documents, search for files, and interact with your Drive content directly within your conversational workflows.
Key Features
File Management
- Browse and navigate your Google Drive folder structure
- Search for files and folders by name, type, or content
- View file metadata including creation dates, modification times, and ownership
- List files within specific folders or across your entire Drive
Content Access
- Read and retrieve content from text-based files
- Access document information without leaving your AI conversation
- View file previews and summaries
- Query file properties and sharing settings
Organizational Tools
- Locate files across complex folder hierarchies
- Filter files by type, date, or other attributes
- Discover recently modified or accessed files
- Navigate shared drives and team folders
Use Cases
The Google Drive MCP Server is ideal for:
- Research and Reference: Quickly find and access information stored in your Drive documents during conversations
- Content Creation: Reference existing files when drafting new content with AI assistance
- File Discovery: Let AI help you locate files when you can't remember exact names or locations
- Productivity Enhancement: Streamline workflows that involve both AI assistance and Google Drive content
- Knowledge Management: Make your Drive's content accessible as context for AI interactions
How It Works
Once connected, the server allows your AI assistant to respond to natural language requests about your Google Drive. Ask your AI to find documents, check file details, or retrieve content, and it will use the MCP server to access your Drive securely and return the information you need.
About Metorial
Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.