MCP Google Calendar Server
Community
78·Strong
Overall Trust Score
Community-maintained MCP server for Google Calendar integration. Enables AI models to create, read, update, and delete calendar events, manage attendees, set reminders, and query availability. Essential for AI-powered scheduling, meeting coordination, and calendar automation workflows.
calendar
scheduling
mcp
model-context-protocol
Trust Vector
Performance & Reliability
85
event operation reliability90
event operation reliability
90
Methodology
Operation success rate testing
Evidence
Confidence: highLast verified: 2025-11-09
availability search accuracy88
availability search accuracy
88
Methodology
Availability accuracy testing
Evidence
Confidence: highLast verified: 2025-11-09
sync reliability82
sync reliability
82
Methodology
Sync reliability testing
Evidence
Confidence: mediumLast verified: 2025-11-09
recurring event handling83
recurring event handling
83
Methodology
Recurrence pattern testing
Evidence
Confidence: highLast verified: 2025-11-09
error recovery85
error recovery
85
Methodology
Error handling testing
Evidence
Confidence: mediumLast verified: 2025-11-09
Security
73
authentication security85
authentication security
85
Methodology
Authentication mechanism review
Evidence
Confidence: highLast verified: 2025-11-09
token exposure risk68
token exposure risk
68
Methodology
Token security analysis
Evidence
Confidence: highLast verified: 2025-11-09
event modification risk65
event modification risk
65
Methodology
Operation authorization testing
Evidence
Confidence: highLast verified: 2025-11-09
attendee invitation risk70
attendee invitation risk
70
Methodology
Invitation risk assessment
Evidence
Confidence: highLast verified: 2025-11-09
calendar sharing control78
calendar sharing control
78
Methodology
ACL enforcement testing
Evidence
Confidence: mediumLast verified: 2025-11-09
audit logging78
audit logging
78
Methodology
Audit logging review
Evidence
Confidence: mediumLast verified: 2025-11-09
Privacy & Compliance
68
event details exposure65
event details exposure
65
Methodology
Data flow analysis
Evidence
Confidence: highLast verified: 2025-11-09
attendee privacy63
attendee privacy
63
Methodology
Attendee privacy assessment
Evidence
Confidence: highLast verified: 2025-11-09
schedule pattern exposure70
schedule pattern exposure
70
Methodology
Pattern privacy assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
third party data sharing70
third party data sharing
70
Methodology
Data sharing analysis
Evidence
LLM Provider Policies
Calendar data shared with LLM provider per their privacy policy
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
location privacy72
location privacy
72
Methodology
Location privacy assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
Trust & Transparency
80
documentation quality78
documentation quality
78
Methodology
Documentation completeness review
Evidence
Confidence: mediumLast verified: 2025-11-09
operation visibility82
operation visibility
82
Methodology
Logging and traceability assessment
Evidence
Confidence: highLast verified: 2025-11-09
open source transparency88
open source transparency
88
Methodology
Source code review
Evidence
Confidence: highLast verified: 2025-11-09
privacy risk disclosure72
privacy risk disclosure
72
Methodology
Privacy disclosure review
Evidence
Confidence: mediumLast verified: 2025-11-09
Operational Excellence
83
ease of setup78
ease of setup
78
Methodology
Setup complexity assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
api performance85
api performance
85
Methodology
Performance benchmarking
Evidence
Calendar API Performance
Fast operations for most calendar queries (typically 50-300ms)
Date: 2025-11-16
Confidence: highLast verified: 2025-11-09
reliability88
reliability
88
Methodology
Reliability analysis
Evidence
Confidence: highLast verified: 2025-11-09
operation coverage82
operation coverage
82
Methodology
Feature coverage assessment
Evidence
Confidence: highLast verified: 2025-11-09
community support75
community support
75
Methodology
Community support assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
✨ Strengths
- •Comprehensive calendar operations (events, availability, reminders)
- •Built on reliable Google Calendar API with high uptime
- •Accurate availability and free/busy time calculations
- •OAuth 2.0 authentication with granular scope controls
- •Open source community implementation
- •Excellent for scheduling automation and meeting coordination
⚠️ Limitations
- •Event details including titles, locations, and attendees exposed to LLM
- •AI can create, modify, and delete calendar events
- •Can send meeting invitations to arbitrary attendees
- •Calendar patterns may reveal personal routines and habits
- •Requires Google Cloud project and OAuth configuration
- •Attendee email addresses and names exposed
📊 Metadata
license: MIT
supported platforms:
0: All platforms with Node.js/Python
programming languages:
0: TypeScript
1: Python
mcp version: 1.0
github repo: https://github.com/modelcontextprotocol/servers
api dependency: Google Calendar API, Google APIs Client Library
authentication: OAuth 2.0 with Google
first release: 2024-11
maintained by: Community
Use Case Ratings
code generation
72
Useful for calendar integration code generation
customer support
85
Excellent for appointment scheduling and meeting coordination
content creation
70
Useful for content calendar management and publication scheduling
data analysis
75
Good for analyzing meeting patterns and time utilization
research assistant
78
Useful for research event tracking and deadline management
legal compliance
55
Risk of exposing confidential meeting details
healthcare
60
Moderate risk for patient appointment scheduling
financial analysis
62
Moderate risk for financial meeting scheduling
education
90
Excellent for class scheduling and academic calendar management
creative writing
68
Useful for deadline and writing session scheduling