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MCP Google Calendar Server

A Model Context Protocol (MCP) server implementation for Google Calendar integration. Create and manage calendar events directly through Claude or other AI assistants.

Created by markelaugust742025/04/09
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What is MCP Google Calendar Server?

What is MCP Google Calendar Server? MCP Google Calendar Server is a Model Context Protocol (MCP) server implementation that allows AI assistants like Claude to create and manage Google Calendar events efficiently. How to use MCP Google Calendar Server? To use this server, clone the repository, install the necessary dependencies, configure your Google OAuth2 credentials, and start the server to interact with Google Calendar through your AI assistant. Key features of MCP Google Calendar Server? Create calendar events complete with titles, descriptions, and start/end times. Support for adding attendees to events. Utilizes secure OAuth2 authentication with Google Calendar API. Full implementation of the MCP protocol. Includes debug logging for easier troubleshooting. Use cases of MCP Google Calendar Server? Automating event creation through AI assistants. Managing personal and professional schedules more effectively. Integrating calendar functionalities into various applications powered by AI. FAQ from MCP Google Calendar Server? What are the requirements for using MCP Google Calendar Server? You need Node.js v18 or later, a Google Cloud Console project with the Calendar API enabled, and OAuth2 credentials. How do I authenticate my application with Google Calendar? You will need to set up OAuth2 credentials and obtain a refresh token through the provided script. Can I use this project with any AI assistant? Yes! While it is designed for Claude, it can be integrated with other compatible AI assistants as well.

As an MCP (Model Context Protocol) server, MCP Google Calendar Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use MCP Google Calendar Server

To use this server, clone the repository, install the necessary dependencies, configure your Google OAuth2 credentials, and start the server to interact with Google Calendar through your AI assistant. Key features of MCP Google Calendar Server? Create calendar events complete with titles, descriptions, and start/end times. Support for adding attendees to events. Utilizes secure OAuth2 authentication with Google Calendar API. Full implementation of the MCP protocol. Includes debug logging for easier troubleshooting. Use cases of MCP Google Calendar Server? Automating event creation through AI assistants. Managing personal and professional schedules more effectively. Integrating calendar functionalities into various applications powered by AI. FAQ from MCP Google Calendar Server? What are the requirements for using MCP Google Calendar Server? You need Node.js v18 or later, a Google Cloud Console project with the Calendar API enabled, and OAuth2 credentials. How do I authenticate my application with Google Calendar? You will need to set up OAuth2 credentials and obtain a refresh token through the provided script. Can I use this project with any AI assistant? Yes! While it is designed for Claude, it can be integrated with other compatible AI assistants as well.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MCP Google Calendar Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Google Calendar Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.