Enables Claude to manage Apple Reminders on macOS, including creating, reading, updating, deleting, and searching reminders across multiple lists with due dates, priorities, and notes.
A remote MCP server (Node.js/TypeScript) deployed on Azure Container Apps that provides todo list management tools with JWT authentication and role-based access control.
An MCP server for interacting with the Backlog API, enabling AI agents to manage projects, issues, wikis, and more, with support for restricting access to a subset of Backlog projects.
A Model Context Protocol (MCP) server that integrates Apple Reminders with Claude Desktop, enabling comprehensive task management and reminders directly through conversations with Claude.
Enables Claude to read and search Apple Reminders tasks on macOS, including lists, incomplete/completed items, and keyword search, all locally without modifying data.
Manage Apple Reminders with natural language from any MCP client; supports adding, showing, editing, completing, deleting reminders and managing reminder lists.
A Model Context Protocol server providing comprehensive integration with Apple Reminders, enabling CRUD operations, natural language date parsing, advanced search, and list management.
Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.
One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
Integrates Apple Notes with AI-powered task extraction and prioritization, enabling automatic processing of notes into actionable items and syncing across multiple productivity services like Google Tasks, Todoist, Notion, and more.
A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.
Enables interaction with Trello boards, lists, and cards through Model Context Protocol (MCP) tools, leveraging TypeScript for type safety and asynchronous operations.