"Creating a Document as a Knowledge Base" matching MCP servers:

Enables AI assistants to interact with Microsoft 365 and Office services through the Microsoft Graph API, providing tools for email, calendar, files, Teams, SharePoint, and more with configurable permissions and output formats.

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 MCP-compatible clients to act as an AI receptionist for a small medical clinic, handling appointment booking and rescheduling, patient registration, intake, reminders, and FAQ answers.

MCP server for Apple Calendar and CalDAV providers. Enables listing, creating, updating, deleting events, and checking free/busy status with per-calendar write protection.

A thin, timezone-correct MCP server for scheduling against CalDAV calendars, providing tools for creating, updating, and managing events with proper timezone handling and recurrence support.

Serves Claude Desktop a unified, actionable read of Google Calendar and Google Tasks, surfacing overdue items first, then the day's events, free slots, and open tasks, with explicit-request-only write tools for creating, updating, completing, and deleting. Google stays the sole source of truth with no server-side storage beyond the OAuth token and a 30-second read cache.

MCP server for Kontur.Talk that enables creating rooms, scheduling meetings, listing and downloading recordings, and reading meeting chat via the Talk HTTP API.

Your real mailbox and calendar for your AI agent — Microsoft 365 via Graph or any IMAP — as 24 tools: read, search, attachments as text, sender history, drafting from identity and knowledge files, free-slot computation. Send, reply, delete and calendar writes need out-of-band human approval: the agent cannot approve its own actions.

MCP server for the eRezo API that enables managing professional contacts and events directly from Claude, including listing, creating, updating, and deleting contacts, as well as event registration.

Enables MCP-compatible clients to manage Reclaim.ai tasks, including listing, creating, updating, completing, deleting, and timer operations through natural language.

This project implements a Python-based MCP (Model Context Protocol) server that acts as an interface between Large Language Models (LLMs) and the Google Calendar API. It enables LLMs to perform calendar operations via natural language requests.

Enables creating and managing events on RealEvents, including listing public events, registering attendees, and updating event details, all from MCP-compatible AI assistants.

Exposes Apple Calendar data through an EventKit helper app. Enables reading, creating, updating, and deleting calendar events on macOS.

Enables managing events and subcalendars from kalender.digital through MCP tools for listing, creating, updating, and deleting events and subcalendars.

Enables intelligent integration with Gmail and Google Calendar for context-aware email analysis, advanced searching, and personalized response drafting. It supports natural language interactions for managing communication history, detecting events in emails, and creating calendar entries.

An MCP server for the Luma Events API that enables creating, updating, and managing events and guests.

A local MCP server that enables multi-account read-only access to Google Workspace services such as Gmail, Calendar, and Drive through named profiles.

Provides reusable MCP tools for Amazon Connect AI Agents and Bedrock AgentCore to look up customers, manage support tickets, schedule appointments, update CRM records, retrieve knowledge, and create tasks.

MCP server for managing Luma events, including creating and updating events, setting ticket types and prices, issuing coupon codes, listing RSVPs, and sending emails to attendees, with a safety-first draft+confirm pattern.

Plans a week of meals from a local recipe library, optimizing for shared ingredients and avoiding repeats, then generates a consolidated shopping list and Markdown plan.