"Understanding Inference Models" matching MCP servers:

A Model Context Protocol server for AI models to access and manipulate Apple Calendar data on macOS through a standardized interface.

Enables AI assistants to interact with Enterprise WeChat (WeCom) using natural language to manage meetings, book rooms, and search contacts. It supports multiple AI models and provides intelligent contact matching via Pinyin.

The OnceHub MCP Server provides a standardized way for AI models and agents to interact directly with the OnceHub scheduling API

Enables language models to run command-line tools and access calendars, Gitea repositories, notifications, and weather through typed HTTP endpoints.

A CalDAV-compliant MCP server that enables AI models to manage personal schedules and to-do lists, supporting batch creation, modification, and intelligent timezone adjustments.

Enables AI models to send messages to Lark users and manage calendar events (list, create, add attendees) through the Model Context Protocol.

Enables language models to interact with Google Calendar through OAuth2 authentication, allowing creation, retrieval, listing, updating, and deletion of calendar events.

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.

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.

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.

Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.

Enables querying the ClasseViva school register through MCP, with tools for grades, agenda, lessons, absences, notices, calendar, schoolbooks, didactics, documents, and summaries, plus attachment handling for both users and AI models.

Enables a local, cost-controlled voice assistant for macOS that routes requests between local and Claude models, provides draft-only email and calendar access via Thunderbird and Granola with a restricted allowlist, and supports meeting follow-ups.