apple-reminders-mcp
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Alternatives to apple-reminders-mcp
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Related Servers
- AlicenseNot gradedqualityCmaintenanceMCP server for Apple Reminders, enabling management of reminders and lists via tools like add, edit, complete, and delete reminders.MIT
- AlicenseNot gradedqualityBmaintenanceEnables fuzzy search, creation, and management of Apple Reminders via CLI or MCP tools.22 npmMIT
- AlicenseAqualityDmaintenanceEnables AI assistants to manage Apple Reminders lists and reminders on macOS, including creating, updating, completing, and deleting reminders.7137 npm5MIT
- AlicenseNot gradedqualityCmaintenanceEnables Claude or any MCP client to create and list reminders, mark reminders done, list Reminders lists, and create Apple Notes on macOS through local AppleScript, without sending data to the cloud.137 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables Codex on Windows to manage iPhone/iCloud Reminders through a local MCP bridge, including listing, creating, updating, completing, and deleting reminders with due dates, notes, and priorities.MIT
- AlicenseNot gradedqualityBmaintenanceA macOS-only MCP server that exposes Apple Reminders to AI clients, enabling create, read, update, delete, search, and organization of reminders and lists through natural language.3MIT
TDQS
Scored across 7 tools
Most tools are distinct, but complete_reminders overlaps with edit_reminder's complete/incomplete flags, and list_reminder_lists (which can show a list's contents) overlaps with show_reminders' list filter. The descriptions mitigate this somewhat but boundaries remain blurry.
Mostly verb_noun, but plurality is inconsistent (add_reminder vs show_reminders/complete_reminders/delete_reminders) and list_reminder_lists is an awkward verb_noun_noun construction. Still readable and mostly predictable.
Seven tools is well-scoped for a reminders domain, with each tool earning its place across create/read/edit/complete/delete/list-management operations.
Covers the full reminder lifecycle (add, show, edit, complete, delete) plus list management, leaving few gaps. Minor omissions like text search or batch reassignment are workable around via filters and edit.