"Using iCalendar on macOS" matching MCP servers:

Enables generating TOTP verification codes on macOS using seeds stored in the login keychain, with optional seed import, removal, and sharing with Passwords.app for automated publishing and other gated tasks.

A read-only MCP server that exposes a published iCalendar feed as calendar-query tools, enabling users to list events, view today/upcoming schedules, search events, and inspect feed info without OAuth or admin consent. Recurring events are expanded into individual occurrences on query.

Enables AI to remotely control macOS systems via VNC with full desktop capabilities including screenshots, mouse control, keyboard input, and application management. Includes a web-based chat interface for natural language control.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

Enables searching for songs on YouTube and automatically playing them in a web browser using the official YouTube Data API v3. It supports cross-platform execution on Windows, macOS, and Linux with built-in input validation.

Enables household maintenance planning and tracking through MCP tools, including reviewed step-by-step guides, command-driven state updates, and iCalendar generation for completed routines.

Aggregates multiple MCP services into a single unified interface with self-configuration capabilities, enabling dynamic addition and removal of tools via conversation.

Answers campus questions by voice, such as room availability, class locations, and deadlines, using existing institutional systems like iCalendar, LDAP, and a room inventory.

Enables assistants to publish readable replies and status updates to e-ink displays and Home Assistant, with switchable characters and state retrieval through MCP tools.

Enables MCP clients to list and inspect Lark/Feishu calendar events, including recurring instances, attendees, and event details, without handling large iCalendar payloads. It provides read-only calendar access with cached freshness checks and secure key-based authentication.

A FastMCP server that provides virtual try-on functionality through the Replicate API, allowing users to visualize how clothing items would look on models.

Enables unified management of reservations across multiple Korean platforms (Naver, Airbnb, SpaceCloud, Yanolja, Kakao) with features for duplicate booking prevention, revenue tracking, customer management, and automated messaging through iCalendar integration.

Enables MCP clients to inspect Google Play releases, reviews, Android vitals, and scoped bulk reports, and to prepare explicitly authorized changes using locally supplied service-account credentials. Reads are default, while optional writes and sensitive reads require explicit configuration and single-use execution.

Provides AI agents with 0–100 marketplace-evidence scores for retail product listings, enabling inspection and comparison of products across Amazon, Walmart, Target, and Best Buy using native retailer IDs.

Provides tools for Bazi (Chinese astrology) chart calculation and analysis, enabling LLMs to generate accurate birth charts, determine patterns, and answer follow-up questions based on actual calculations rather than model knowledge.

A single-purpose MCP server that lets an AI assistant run commands over SSH on a fixed, pre-configured host only, with an explicit per-call confirmation gate before execution.

Enables dice rolling for RPG games using standard dice notation, supporting complex expressions like keep/drop, reroll, exploding dice, and batch rolls.

Source-backed hardware end-of-life (EOL/EOSL) lookups by part number for enterprise gear — support status, end-of-sale and end-of-support dates, with the vendor's own bulletin URL on every answer. Unknown parts return found:false, never a guess.

Bridges Microsoft Clarity's analytics API with Claude, enabling custom date ranges and page-level filtering on top of Clarity's native limitations.

Metis gives AI agents expert know-how that named reviewers have approved, and only where its recorded conditions match the situation. High-risk situations go to a person. When an agent sees practice depart from procedure, it can send the expert one short question. Every retrieval is recorded on a hash-linked evidence chain.