Google Calendar MCP Server

The Google Calendar MCP Server bridges Claude and the Google Calendar API, turning a simple calendar into an intelligent, AI‑powered workspace. By exposing calendar operations as MCP resources, the server lets Claude list upcoming events, create new meetings, and discover free time slots—all without leaving the conversation. This eliminates repetitive manual checks and streamlines scheduling directly from an AI assistant.

Developers benefit from a clean, declarative interface: each calendar operation is represented as an MCP tool with well‑defined parameters and response schemas. The server handles OAuth 2.0 authentication, token refreshes, and API rate limits behind the scenes, so developers can focus on higher‑level logic. Once a refresh token is stored, Claude can seamlessly query or modify the user’s calendar on behalf of the developer, providing a frictionless experience for end‑users.

Key capabilities include:

• Event listing – Retrieve events within a specified time range, optionally filtered by calendar ID or query string.
• Event creation – Schedule new meetings with attendees, time slots, and optional reminders or descriptions.
• Free‑time discovery – Find gaps in the user’s calendar that satisfy a desired duration, aiding scheduling assistants and meeting planners.
• OAuth integration – Securely manage authentication flows, ensuring the assistant never stores sensitive credentials.

Typical use cases span productivity tools and virtual assistants. For example, a project management bot can ask Claude to book a stand‑up meeting for the team at the next available slot. A travel planner could suggest optimal flight times by checking the user’s calendar for conflicts. In a customer support setting, an AI can automatically add follow‑up appointments after resolving tickets.

Because the server abstracts away Google’s API intricacies, developers can integrate calendar functionality into their MCP workflows with minimal code. Claude can call these tools as part of a larger chain—combining natural language understanding, data retrieval from other sources, and calendar manipulation—to create sophisticated, context‑aware assistants that manage time efficiently.