Google Tools MCP

Overview

Google Tools MCP is a Model Context Protocol server that provides AI agents with standardized access to Google Workspace services. Instead of requiring agents to understand the complexities of multiple Google APIs, this MCP server exposes a unified interface for common operations across Gmail, Tasks, Drive, Calendar, and Docs.

The server runs on Cloud Run and handles authentication, authorization, API interactions, and error handling, allowing AI agents to focus on high-level tasks rather than implementation details.

Supported Services

Gmail

• Read Operations: List messages, search by query, get message content, read threads
• Write Operations: Send emails, reply to threads, mark as read/unread, archive, delete
• Label Management: Create labels, apply labels to messages, organize inbox

Google Tasks

• Task Management: Create tasks, list tasks by task list, mark complete/incomplete
• Task Lists: Create and manage multiple task lists, organize by project or context
• Due Dates: Set and update task deadlines, track overdue items

Google Drive

• File Operations: List files, search by name or content, get file metadata
• Folder Management: Create folders, organize files, navigate directory structure
• Sharing: Get sharing permissions, generate shareable links (read-only operations)

Google Calendar

• Event Reading: List events by date range, search for specific meetings
• Event Creation: Create new calendar events with attendees and descriptions
• Event Updates: Modify existing events, reschedule, cancel

Google Docs

• Document Reading: Get document content, extract text and structure
• Document Creation: Create new documents from templates or scratch
• Document Updates: Append content, update existing sections (planned)

Security & Permissions

Minimal Scope Principle: Each operation requests only the specific OAuth scopes required. For example, reading Gmail doesn’t require Calendar permissions.

Permission Levels:

• Read-only operations use viewer scopes
• Write operations use editor scopes
• No delete operations without explicit user confirmation

User Context:

• All actions tagged with user identifier
• Agent identifier logged for audit trail
• Per-user rate limiting to prevent abuse

Implementation Details

Authentication Flow:

1. User authorizes MCP server via OAuth 2.0
2. Tokens stored securely with encryption at rest
3. Automatic token refresh before expiration
4. Token revocation on user request

API Interaction:

• Uses official Google Client Libraries for reliability
• Implements exponential backoff for rate limits
• Normalizes responses to consistent MCP format
• Handles partial failures gracefully

Monitoring & Observability:

• Request/response logging to BigQuery
• Error tracking with stack traces
• Performance metrics per operation
• Usage analytics per service

Usage Example

An AI agent can use this MCP server to:

1. Search Gmail for messages from a specific sender
2. Extract action items from email content
3. Create Google Tasks for each action item
4. Schedule Calendar events for time-sensitive tasks
5. Create a summary document in Google Docs

All of this happens through the standardized MCP interface without the agent needing to understand five different Google APIs.

Future Enhancements

• Add support for Google Sheets (read/write)
• Add support for Google Slides (read-only initially)
• Implement batch operations for efficiency
• Add webhook support for real-time notifications
• Create caching layer for frequently accessed data
• Support for shared drives and organization-wide access