Apple Reminders MCP Server

Apple Reminders MCP Server

The Apple Reminders MCP Server bridges the gap between AI assistants and macOS’s native task management system. By exposing Apple Reminders through a Model Context Protocol interface, it lets developers treat reminders as first‑class resources that can be queried, created, updated, and deleted with the same tooling used for other data sources. This eliminates the need to write platform‑specific code or rely on brittle automation scripts, enabling a clean, declarative workflow that fits naturally into existing MCP‑driven pipelines.

At its core the server offers a comprehensive set of operations: listing all reminder lists, enumerating reminders with rich metadata (title, notes, due dates, URLs, completion status), and manipulating individual items. Developers can create new reminders, update any field, move items between lists, or delete them outright—all through standardized JSON payloads. The API’s design is intentionally simple yet powerful, allowing AI agents to reason about tasks and state changes without grappling with macOS’s private APIs or scripting languages.

Key capabilities extend beyond basic CRUD. The server implements smart organization by automatically categorizing reminders based on priority, due date, or completion state. Its search engine supports multi‑parameter filtering—completion status, date ranges, and keyword queries—enabling agents to surface relevant tasks quickly. Batch operations let the assistant reorder or move dozens of items in a single call, while permission management proactively checks that the host application has the necessary system access, reducing runtime errors. The date handling logic is locale‑aware and supports both date‑only and full datetime formats, ensuring consistency across international deployments. Full Unicode support guarantees that reminders in any language are processed correctly.

Real‑world scenarios abound: a personal productivity assistant can ask a user to “add an email follow‑up for tomorrow” and have the server create the task with the correct due date; a project management bot can “archive all completed reminders” to keep the list tidy; or an integration with a calendar tool can sync reminder deadlines into event schedules. Because the server is written in Swift and compiled as a lightweight binary, it delivers low‑latency responses even under heavy load, making it suitable for real‑time conversational agents.

Integrating the server into an MCP workflow is straightforward. Once registered, any AI client that supports MCP can invoke its tools using the standard action syntax (, , , etc.). The server’s type‑safe responses, coupled with consistent error handling, allow developers to build robust chains of reasoning—e.g., a bot might first query pending tasks, then schedule a new reminder, and finally confirm the creation—all within a single conversational turn. This tight coupling between AI logic and native macOS functionality unlocks new possibilities for productivity, automation, and personalized assistance on Apple platforms.