Apple Reminders
MCP-AppleReminders provides a bridge between AI assistants and Apple's Reminders app, allowing models to create, read, and manage reminders directly through the Model Context Protocol. Built with Python using the FastMCP framework, it exposes tools for interacting with the native Reminders application on macOS and iOS devices. The implementation includes functionality for retrieving existing reminders and creating new ones with specified parameters like title, notes, due dates, and priority levels. This server enables seamless integration with Apple's productivity ecosystem, making it valuable for personal task management, scheduling assistance, and automated reminder creation through AI interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/chenningling/mcp-applereminders
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Apple Reminders from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.