"How to install LM Studio tool" matching MCP servers:

Enables deterministic calculations for AI API and subscription costs, meeting time zones, recurring schedules, and cron next-run previews, returning normalized inputs, units, assumptions, dated sources, and links to results.

An MCP server for Deputy that provides read and write access to rosters, timesheets, and shifts. It runs locally and privately, communicating directly with your own Deputy install.

A minimal MCP server that exposes a single tool, day_in_week, to return the current weekday name.

MCP server that gives Claude and other MCP hosts full access to Calendar.app on macOS — list, search, create, update, and delete events across all configured accounts.

Enables AI assistants to perform Japanese business calendar calculations including holiday detection, business day arithmetic, payment date settlement, and deadline management using local data.

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.

Enables reading Google Calendar events for a specific date using the getMyCalendarDataByDate tool.

Forked from https://github.com/epaproditus/google-workspace-mcp-server The deletion and updates on Google Calendar were removed since there were no scope to prevent deletion whilst maintaining creation capabilities.

Exposes a single typed tool that lets coding agents explore London and San Francisco Agent Engineering events, speakers, agendas, tickets and recordings, search a 456-listing tool/model directory, and export UTC calendar plans — all from a bundled catalogue with zero server-side model calls by default.

Enables AI assistants to retrieve and access Google Calendar events by date through the Google Calendar API. Provides a simple tool interface for querying calendar data with date validation and error handling.

A Model Context Protocol tool that enables Claude to interact with Microsoft Outlook for macOS, allowing users to read/send emails, manage calendar events, and access contacts through natural language commands.

Enables to manage Nextcloud files, user info, sharing, calendar, and contacts through optimized MCP tools with dynamic tool selection and enterprise-grade security.

This is the Feishu/Lark official OpenAPI MCP (Model Context Protocol) tool designed to help users quickly connect to the Feishu/Lark platform and enable efficient collaboration between AI Agents and Feishu/Lark. The tool encapsulates Feishu/Lark Open Platform API interfaces as MCP tools, allowing AI assistants to directly call these interfaces and implement various automation scenarios such as document processing, conversation management, calendar scheduling, and more.

A read-only MCP server for auditing Trafft booking data with tools to list services, employees, appointments, and customers without mutation endpoints.

A tool that enables creating and querying Apple Reminders through natural language, allowing users to set reminder content (title and notes) and specify reminder date/time.

Enables comprehensive calendar management with capabilities to create, list, update, and delete events through a Model Context Protocol server integrated with Google Calendar.

Apple Reminders CLI and MCP server with section support and iCloud sync — the only tool that can create, manage, and sync sections across devices

A cloud relay server that bridges the GlassBridge smart glasses app with Google services like Gmail and Calendar via the Model Context Protocol. It provides secure OAuth authentication and WebSocket communication to enable voice-controlled tool execution on mobile devices.

Wraps the Calendly API v2 for scheduling data, enabling AI agents to query and manage Calendly events and availability.

A single-tool MCP server for Google Calendar, Gmail, and Drive, designed for LLM context efficiency with compact output and multi-account support.