Google Calendar MCP Server

Overview

The Eliasuran Mcp Server Google Calendar is a lightweight MCP (Model Context Protocol) server that bridges Claude’s conversational AI with the Google Calendar API. By exposing a set of high‑level tools, it allows developers to give Claude natural language commands that translate into calendar operations—creating events, querying availability, and scheduling meetings—all without writing custom integration code. This solves the problem of tedious manual calendar management while keeping AI interactions fluent and context‑aware.

At its core, the server registers a handful of tools that map directly to Google Calendar endpoints. When Claude receives a user request such as “Create an event called Chill whenever I have time on Monday after 8 pm,” the MCP workflow triggers the appropriate tool, passing the parsed parameters. The server handles authentication via OAuth 2.0, manages token refreshes, and ensures that event creation or retrieval is performed securely on behalf of the user. This eliminates the need for developers to implement OAuth flows or construct HTTP requests, letting them focus on building higher‑level conversational experiences.

Key capabilities include:

• Event creation with flexible scheduling logic (e.g., free‑time searches, recurring patterns).
• Availability checks for multiple participants, automatically scanning calendars to find common slots.
• Event listing and retrieval, allowing Claude to answer questions about upcoming meetings or past events.
• Time zone awareness and conflict detection, ensuring that scheduled items respect user preferences.

Typical use cases span personal productivity tools, team coordination bots, and virtual assistants that need to manage appointments. For example, a developer can build a “meeting scheduler” feature where users simply say “Schedule a sync with the design team next week,” and Claude will resolve conflicts, propose times, and create the event. In a customer support setting, an AI agent can pull calendar data to confirm availability before booking follow‑up calls.

Integration into existing AI workflows is straightforward. Once the MCP server is running, any Claude Desktop or compatible client can invoke its tools through the standard invocation syntax. Because the server abstracts away low‑level API details, developers can prototype conversational flows quickly and iterate on natural language prompts without wrestling with authentication or rate limits. The server’s design also allows for future expansion—additional Google Workspace services can be added as new tools, keeping the architecture modular and scalable.