"AI-Based Task Management System" matching MCP servers:

Enables natural language interaction with Google Calendar through AI agent tools for scheduling, event management, and availability checking.

Enables AI assistants to interact with Fastmail services, providing tools for comprehensive email management, contact searching, and calendar event coordination via the JMAP API. It supports advanced features like threaded conversations, attachment handling, and bulk mailbox operations through natural language.

Enables AI apps to manage Google Calendar in plain language, including reviewing schedules, creating and changing events with guests and Google Meet, finding free time, and blocking Out of Office or Focus Time.

Production-ready Muslim prayer reminder system on Cloudflare Workers with Streamable HTTP MCP and deterministic host middleware.

MCP server for Google APIs — Gmail and Calendar tools for LLM agents.

An unofficial MCP server that enables AI assistants to work with Yandex Tracker, Yandex Mail, and Yandex Calendar on the user's behalf, supporting reading, writing, and workflow automations such as meeting follow-ups, standups, and email-to-task creation.

Enables AI assistants to read, create, update, move, and delete calendar events, list calendars, and query free/busy across multiple independent Google accounts through a single interface, with each account routed explicitly and gated by role-based access control. It also includes a built-in personal time-management assistant and stores each account's OAuth tokens in a local encrypted vault.

Turn any calendar, contact book, or task list into an AI-orchestrated system. Platform-independent via CalDAV/CardDAV works with Nextcloud, Baikal, Fastmail, and any standards-compliant DAV server. 26 tools with field-agnostic updates.

MCP server for the Indico meeting agenda system, enabling AI agents to search event categories, browse agendas, and extract contribution and session details. Works with multiple Indico instances simultaneously.

A cross-platform MCP server for managing Apple Reminders, enabling creation, updating, completion, deletion, and listing of reminders with timezone and child-task support.

MCP server for managing Google Calendar reminders with time-based and location-based triggers, enabling creation, listing, and deletion of reminders.

Enables Claude to manage Outlook calendar events and Microsoft To Do tasks for a specific mailbox via Microsoft Graph API.

Enables AI assistants to interact with GoHighLevel CRM via natural language for lead lookup, pipeline management, messaging, and calendar operations, with read-only mode by default.

An ADT-based calendar management system that enables users to create, update, and organize events by category with integrated stamina tracking functionality.

Enables any MCP client to manage the full MeetStream meeting-bot lifecycle: create, record, transcribe, summarize, interact live, and auto-join calendar meetings via 19 callable tools.

Enables AI agents to read and manage Microsoft 365/Outlook email and calendar, with destructive actions (send email, create event) requiring human approval.

Bridges Motion's AI-powered calendar and task management platform with LLMs using the Model Context Protocol. It enables users to manage tasks, projects, and schedules through natural language conversation on desktop, web, and mobile.

Gives time-blind LLMs and agent frameworks a real clock: current time and timezone, elapsed task duration, countdowns to deadlines, timezone conversion, session heartbeats, cron-style due checks, and session-level timers. This lets locally hosted or self-built models stop hallucinating the time and actually perceive how long a task or conversation has been running.

Bridges Motion's AI-powered calendar and task management API with LLMs via the Model Context Protocol, enabling natural language management of tasks, projects, schedules, comments, and more.

Bridges Motion's AI-powered calendar and task management API with LLMs, enabling natural language management of tasks, projects, schedules, and more via the Model Context Protocol.