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Apple Calendars▌

shadowfax92

by shadowfax92

TypeScript server for macOS Calendar: read, create, update, delete events via a local HTTP bridge for seamless Apple Cal

Provides a TypeScript-based server for reading, creating, updating, and deleting macOS calendar events through a local HTTP bridge, enabling seamless scheduling and calendar management for desktop applications.

github stars

★ 10

GitHubnpm
0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

macOS-only integrationRequires local bridge serviceFlexible date format support

best for

  • / AI assistants that manage scheduling
  • / Desktop automation workflows on macOS
  • / Calendar-aware AI applications

capabilities

  • / List all available calendars
  • / Read events from specific calendars
  • / Create new calendar events
  • / Update existing calendar events
  • / Delete calendar events

what it does

Connects AI models to Apple Calendar on macOS, allowing them to read, create, update, and delete calendar events through a local bridge service.

about

Apple Calendars is a community-built MCP server published by shadowfax92 that provides AI assistants with tools and capabilities via the Model Context Protocol. TypeScript server for macOS Calendar: read, create, update, delete events via a local HTTP bridge for seamless Apple Cal It is categorized under productivity, developer tools.

how to install

You can install Apple Calendars in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Apple Calendars is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Apple Calendars

A Model Context Protocol (MCP) server for interacting with Apple Calendars on macOS. This module allows AI models to access and manipulate calendar data through a standardized interface.

Prerequisites

Installation

  1. Clone this repository
  2. Install dependencies: 
    npm install
  3. Build the TypeScript code: 
    npm run build

Usage

  1. Make sure the Calendar API Bridge is running on port 8080
  2. Start the MCP server: 
    npm start

Available Tools

The MCP server provides the following tools for AI models:

  • getCalendars: List all available calendars
  • getCalendarEvents: Get events from a specific calendar
  • createCalendarEvent: Create a new event in a calendar
  • updateCalendarEvent: Update an existing event
  • deleteCalendarEvent: Delete an event from a calendar

Date Formats

When creating or updating events, you can use any of the following date formats:

  1. ISO8601 with milliseconds and Z timezone (recommended):

    2025-03-09T10:00:00.000Z

  2. ISO8601 without milliseconds:

    2025-03-09T10:00:00

  3. ISO8601 with space instead of T:

    2025-03-09 10:00:00

  4. ISO8601 with forward slashes:

    2025/03/09 10:00:00

The Calendar API Bridge has been updated to handle these date formats automatically.

Development

To run the server in development mode with automatic reloading:

npm run dev

License

MIT

FAQ

What is the Apple Calendars MCP server?
Apple Calendars is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Apple Calendars?
This profile displays 27 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases▌

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

✓

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

✓

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

✓

Complete complex tasks end-to-end without manual steps

Implementation Guide▌

Prerequisites

  • ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • ›Basic understanding of MCP architecture and capabilities
  • ›Access credentials for integrated services (if required)
  • ›Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • ⚠MCP server not loading: Check config syntax, verify installation
  • ⚠Connection errors: Check network, firewall, credentials
  • ⚠Feature not working: Read server docs, check required parameters
  • ⚠Performance issues: Monitor resource usage, check for network latency
  • ⚠Conflicts with other servers: Check port assignments, namespace collisions

Best Practices▌

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • −Don't grant overly permissive access to MCP servers
  • −Don't skip reading security considerations in docs
  • −Don't expose sensitive data without proper controls
  • −Don't run untrusted MCP servers without code review
  • −Don't ignore error messages—investigate root cause

💡 Pro Tips

  • ★Combine multiple MCP servers for powerful workflows
  • ★Create custom MCP servers for your specific needs
  • ★Share successful configurations with team
  • ★Use MCP inspector for debugging
  • ★Join MCP community for tips and troubleshooting

Technical Details▌

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This▌

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration▌

  • →Tool composition: Chain multiple MCP tools in workflows
  • →Context augmentation: Provide AI with relevant external data
  • →Action delegation: Let AI execute tasks on external systems
  • →Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.7★★★★★27 reviews
  • ★★★★★Pratham Ware· Dec 20, 2024

    According to our notes, Apple Calendars benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Amina Perez· Dec 8, 2024

    According to our notes, Apple Calendars benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Liam Gill· Nov 27, 2024

    We wired Apple Calendars into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Sakshi Patil· Nov 11, 2024

    We wired Apple Calendars into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Liam Rao· Oct 18, 2024

    Apple Calendars is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Chaitanya Patil· Oct 2, 2024

    Apple Calendars is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Olivia Gupta· Sep 25, 2024

    According to our notes, Apple Calendars benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Piyush G· Sep 21, 2024

    Apple Calendars is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Oshnikdeep· Sep 17, 2024

    I recommend Apple Calendars for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Kofi Liu· Sep 9, 2024

    Apple Calendars is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

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