Mcpcalendar

Overview

The mcpcalendar MCP server is a lightweight, runtime‑ready component that exposes calendar data to AI assistants through the Model Context Protocol. By acting as a bridge between an external calendar service (such as Google Calendar, Microsoft Outlook, or any custom event source) and Claude‑style agents, it lets developers add time‑aware reasoning to their conversational models without embedding the data directly into the model’s weights. This solves a common pain point: AI assistants often lack up‑to‑date scheduling information, leading to inaccurate or stale responses about appointments and deadlines. With mcpcalendar, the assistant can query real‑time events, create new appointments, or modify existing ones on demand.

At its core, the server offers a set of declarative resources that describe calendar events, availability windows, and recurrence rules. These resources are automatically converted into MCP prompts, enabling the AI to interpret dates, times, and relative expressions (e.g., “next Tuesday at 3 pm”) in a structured format. The server also implements sampling strategies that respect time zone differences and daylight‑saving changes, ensuring that the assistant’s outputs remain consistent across global deployments. By handling the heavy lifting of date parsing and conflict resolution, developers can focus on higher‑level logic such as scheduling meetings or sending reminders.

Key capabilities include:

• Real‑time event retrieval: Fetch upcoming events, free/busy slots, and detailed metadata in JSON form.
• Event manipulation: Create, update, or delete events through simple API calls that the assistant can trigger.
• Conflict detection: The server automatically checks for overlapping appointments and suggests alternative slots, reducing the need for manual validation.
• Recurring event support: Handle complex recurrence patterns (e.g., “every third Friday”) and convert them into machine‑readable structures.
• Time zone awareness: All timestamps are normalized to UTC internally, while the assistant can present them in user‑preferred zones.

Real‑world scenarios abound. A customer support chatbot could automatically schedule follow‑up calls based on a user’s availability, while an HR assistant might book interview slots for multiple candidates. Developers building productivity tools can integrate mcpcalendar to power “schedule a meeting” commands, ensuring that the assistant’s suggestions are always in sync with the user’s actual calendar. Because the server exposes its capabilities through MCP, any Claude‑compatible model can consume these resources with minimal configuration—no custom plugins or SDKs required.

The standout advantage of mcpcalendar lies in its minimal footprint and rapid startup. Built on Bun, the server leverages a fast JavaScript runtime that reduces latency for both prompt generation and event queries. Its declarative resource model means that changes to the calendar schema propagate automatically, keeping the assistant’s knowledge base fresh without redeploying the AI model. For developers who need a reliable, time‑aware extension to their AI workflows, mcpcalendar provides a clean, standards‑compliant solution that integrates seamlessly into existing MCP pipelines.