About
A Model Context Protocol server that lets AI assistants such as Claude create, update, and manage Google Calendar events—including titles, descriptions, times, alerts, and attendees—using OAuth2 authentication and full MCP protocol support.
Capabilities
Overview
The MCP Google Calendar Server is a Model Context Protocol implementation that bridges AI assistants—such as Claude—with the Google Calendar API. It solves the common developer pain point of integrating calendar management into conversational AI workflows: enabling assistants to schedule, modify, and retrieve events directly from a user’s Google Calendar without exposing sensitive credentials or handling OAuth flows manually. By providing a standardized MCP interface, the server allows any MCP‑compliant client to request calendar actions as if they were native tools, keeping the interaction seamless and secure.
At its core, the server exposes a single “create event” capability that accepts essential parameters—title, description, start and end times, and optional alerts—and supports adding attendees by email. Internally it performs OAuth2 authentication using a pre‑obtained refresh token, ensuring that the assistant can act on behalf of the user without prompting for credentials each time. The full MCP protocol stack is implemented, meaning the server can advertise its resources, provide prompts for user input, and handle sampling requests from the assistant. Debug logging is also available to trace request flows, making it easier for developers to diagnose integration issues.
Key features include:
- Event creation and attendee management: Quickly add new meetings or reminders with minimal input.
- Secure OAuth2 handling: Token refresh is automatic, keeping the assistant’s access up‑to‑date.
- Protocol compliance: Full MCP support allows the server to be discovered, queried, and invoked by any MCP‑aware client.
- Extensibility: While the current release focuses on event creation, the architecture can be extended to support listing, updating, or deleting events.
Typical use cases involve virtual assistants scheduling meetings on behalf of users, automatically logging time blocks after a conversation, or integrating calendar events into larger workflow automations (e.g., booking resources, sending follow‑up emails). For developers building AI‑powered productivity tools, this server removes the boilerplate of OAuth flows and API calls, letting them focus on conversational logic instead.
The server’s standout advantage lies in its simplicity and security: a single configuration file supplies all necessary credentials, and the MCP interface abstracts away the complexities of Google’s API. Developers can plug this server into their existing AI pipelines, expose it as a tool in prompts, and enable assistants to manage calendars with confidence and minimal friction.
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