che-ical-mcp
Bridges Claude to native macOS calendar and reminders via EventKit, enabling AI-driven scheduling automation without manual sync or third-party calendar APIs.
macOS Calendar & Reminders MCP server with 28 tools - Native Swift EventKit integration for Claude AI. Attendee/organizer info, per-event timezone, undo/redo, --cli mode, --setup TCC, batch ops. Supports iCloud, Google, Exchange.
- Generate meeting summaries and action items from calendar events
- Auto-schedule follow-ups based on meeting context and attendees
- Batch-update event details across multiple calendars
Bridges Claude to native macOS calendar and reminders via EventKit, enabling AI-driven scheduling automation without manual sync or third-party calendar APIs. Supports multi-calendar systems (iCloud, Google, Exchange) with full attendee/organizer context and timezone handling.
macOS-first teams and individuals who need Claude to read, create, and modify calendar events with native system access and batch operations.
https://github.com/PsychQuant/che-ical-mcp
By PsychQuant
How to Get It
claude mcp add che-ical-mcp -- npx -y che-ical-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Help me generate meeting summaries and action items from calendar events
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 32 GitHub stars; 5 contributors; last commit 15d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 32 GitHub stars; 5 contributors; last commit 15d ago; license MIT.