"Using OpenRouter to Access Available Language Models" matching MCP servers:

A stateless MCP server that forwards calendar operations to a CalDAV server, enabling AI assistants to list, search, create, update, delete events, and query free/busy information via encrypted tokens.

Enables AI assistants to interact with Fastmail calendars via CalDAV, allowing them to view, create, update, and delete calendar events using natural language.

Enables AI agents to interact with Microsoft Teams through Microsoft Graph API, using delegated device-code authentication to act on behalf of the user.

Enables natural-language access to OurFamilyWizard for co-parenting messages, calendar, expenses, and journal.

A Model Context Protocol server that connects Claude to OurFamilyWizard, giving you natural-language access to your co-parenting messages, calendar, expenses, and journal.

Enables language models to directly manage Kronos 2.0 bookings and schedules, including checking available slots, listing resources and services, creating or moving appointments, linking amoCRM deals to bookings, and subscribing to webhooks via the Public API v1.

Enables read/write access to Apple Calendar on macOS by bypassing permission restrictions via JXA scripts, allowing users to manage calendar events through natural language.

Enables querying and managing Fantastical calendars and events via the MCP protocol, allowing AI assistants to list calendars, create events using natural language, and search or retrieve event details.

A Model Context Protocol server that connects Claude to OurFamilyWizard, giving you natural-language access to your co-parenting messages, calendar, expenses, and journal.

Connects Claude to OurFamilyWizard for natural-language access to co-parenting messages, calendar, expenses, and journal.

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.

Agent-native MCP server for Carly, the AI scheduling assistant. Exposes 11 tools to read and manage booking pages, event types, calendars, bookings, and available slots. Allows you to manage and create booking pages from the command line.

Enables read-only access to SimplePractice Client Portal data — appointments, billing, documents, and announcements — via the portal's JSON:API, using passwordless portal sign-in.

Provides read-only access to BIT101 community posts, course reviews, personal schedules, grades, and Lexue calendar events, enabling natural language queries for Beijing Institute of Technology students.

An unofficial MCP server for Tend dental that aims to let users access their own Tend account data (e.g., appointments) via natural language. Currently it is scaffold-only with stub API calls and not yet functional.

Enables MCP clients to access Stardew Valley calendar data, including current date, daily events, villager birthdays, weekly birthdays, and full seasonal calendars, through a local HTTP bridge to the HelloStardew mod. It provides read-only tools with structured success or error responses for natural-language use.

Gives Claude, Codex, Cursor and any other MCP client read access to your courses, content, files, grades, deadlines, announcements and discussions, using your own browser session.

Provides secure access to macOS Reminders, Calendar, and Notes using semantic tools and validated AppleScript templates. It enables users to manage schedules, tasks, and notes through natural language while ensuring multi-layer security validation.

Enables AI assistants to read and create Fantastical calendar events on macOS using local database access and URL schemes, working entirely offline without API keys or network access.

An MCP server that provides AI assistants with full access to Fastmail accounts for managing email, contacts, calendars, and file storage. It implements 42 tools across JMAP, CardDAV, CalDAV, and WebDAV protocols to enable comprehensive account interaction through natural language.