What is the Google Calendar MCP Server?

It's a Python-based server that allows Large Language Models (LLMs) to interact with the Google Calendar API through natural language, enabling AI agents to manage schedules and events.

MCP stands for Model Context Protocol. It's an open standard that defines how applications provide context and functionality to LLMs.

What features does the MCP Server offer?

It provides features like secure authentication, calendar listing/creation, event finding/creation/updating/deletion, attendee management, free/busy time queries, and automated meeting scheduling.

How does the authentication work?

It uses OAuth 2.0 for secure access to the Google Calendar API. It utilizes the Desktop App Flow with automatic token storage and refresh.

What are the prerequisites for setting up the server?

You need Python 3.8+, Git, and access to a Google Cloud Platform project with the Google Calendar API enabled.

How do I install the dependencies?

Navigate to the project directory in your terminal and run `pip install -r requirements.txt`.

How do I configure the server to work with my MCP client?

You need to configure your MCP client to run the `run_server.py` script, providing the full path to the Python executable and the script.

Where are the Google Client ID and Secret stored?

They are stored in the `.env` file in your project directory. *Do not* include them directly in your MCP client configuration.

What is the UBOS platform, and how does this MCP Server integrate with it?

UBOS is a full-stack AI Agent Development Platform focused on helping businesses orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with LLMs, and create Multi-Agent Systems. This MCP server provides a way for those agents to interact with Google Calendar.

How do I obtain a commercial license?

Contact deciduusleaf@gmail.com for inquiries regarding commercial licensing options.

I see a Task 3.5 and other task numbers mentioned in the documentation. What do these refer to?

These refer to internal development tasks and milestones within the project's roadmap. They are generally not relevant to end-users.

Can I use this to read-only access to calendars?

Yes, you can modify the `CALENDAR_SCOPES` variable in the `.env` file to 'https://www.googleapis.com/auth/calendar.readonly' for read-only access.

The documentation mentions a `timeout` setting for the MCP client. What value should I use?

The appropriate timeout value depends on the expected duration of calendar operations. Start with a value like `30000` (30 seconds) and adjust as needed based on observed performance.

UBOS Asset Marketplace: Google Calendar MCP Server - Powering AI Agents with Smart Scheduling

Q: What license is the project released under?

It's dual-licensed under the GNU Affero General Public License v3.0 (AGPL-3.0) and a commercial license.

In the rapidly evolving landscape of AI-driven automation, the ability for Large Language Models (LLMs) to seamlessly interact with external data sources and tools is paramount. The UBOS platform recognizes this critical need, and we are proud to present the Google Calendar MCP (Model Context Protocol) Server as a key asset in our marketplace, designed to bridge the gap between AI agents and real-world scheduling and event management.

At its core, the MCP Server is a Python-based solution that acts as an intermediary, enabling LLMs to understand and execute natural language requests related to Google Calendar. This means your AI agents can now intelligently manage appointments, schedule meetings, analyze availability, and perform a wide range of calendar-related tasks, all through intuitive natural language commands.

This seamless integration is made possible by the Model Context Protocol (MCP), an open standard for facilitating communication between applications and LLMs. By adhering to the MCP standard, the Google Calendar MCP Server ensures interoperability and ease of integration with a variety of AI agent platforms, including the UBOS platform.

Use Cases: Transforming Productivity with AI-Powered Scheduling

The Google Calendar MCP Server unlocks a plethora of use cases across various industries and applications. Here are just a few examples of how this powerful tool can transform productivity and streamline workflows:

AI-Powered Personal Assistants: Imagine an AI assistant that can intelligently manage your entire schedule, automatically scheduling meetings based on your availability and preferences. The MCP Server enables this level of sophisticated automation, allowing your AI assistant to proactively manage your calendar and keep you on track.
Automated Meeting Scheduling: Eliminate the tedious back-and-forth of scheduling meetings with multiple attendees. The MCP Server can analyze the availability of all participants and automatically identify mutually convenient time slots, streamlining the scheduling process and saving valuable time.
Intelligent Resource Management: Optimize the use of shared resources, such as conference rooms or equipment, by integrating the MCP Server with your resource management system. AI agents can then intelligently schedule resources based on availability and demand, ensuring efficient utilization and preventing conflicts.
Enhanced CRM and Sales Automation: Integrate calendar management with your CRM system to automatically schedule follow-up meetings with leads and customers. AI agents can analyze customer interactions and proactively schedule meetings to nurture relationships and close deals.
Streamlined Project Management: Keep projects on track by automatically scheduling tasks and deadlines in Google Calendar. AI agents can monitor project progress and proactively schedule meetings to address potential roadblocks and ensure timely completion.
Data-Driven Insights: Analyze calendar data to gain valuable insights into your team’s productivity and time allocation. The MCP Server can provide detailed reports on meeting durations, attendee participation, and overall busyness, enabling you to identify areas for improvement and optimize workflows.

Key Features: A Comprehensive Suite of Calendar Management Tools

The Google Calendar MCP Server boasts a rich set of features designed to empower AI agents with comprehensive calendar management capabilities:

Secure Authentication: Protect your Google Calendar data with secure OAuth 2.0 authentication, ensuring that only authorized AI agents can access and modify your calendar.
Comprehensive Calendar Actions: Perform a wide range of calendar operations, including listing calendars, creating new calendars, finding events, creating detailed events, quickly adding events from text, updating events, deleting events, and adding attendees to events.
Advanced Scheduling & Analysis: Leverage advanced features such as attendee response status checking, free/busy time queries, mutual free slot identification, and automated meeting scheduling. Gain insights into daily event counts and durations to optimize time management.
FastAPI-Based Server: Benefit from a robust and scalable server architecture based on FastAPI, a modern Python framework known for its speed and efficiency.
MCP Integration: Seamlessly integrate with MCP-compliant tools using the mcp_sdk library, ensuring interoperability and ease of use.

Deep Dive into Key Features

Authentication: The server employs OAuth 2.0 for secure access to the Google Calendar API. The Desktop App Flow ensures user-friendly authentication with automatic token storage and refresh, removing the complexities of manual token management.
Core Calendar Actions: The server exposes a comprehensive suite of actions, enabling LLMs to create, read, update, and delete calendar events. This includes mcp_google_calendar_list_calendars, mcp_google_calendar_create_calendar, mcp_google_calendar_find_events, mcp_google_calendar_create_event, mcp_google_calendar_quick_add_event, mcp_google_calendar_update_event, mcp_google_calendar_delete_event, and mcp_google_calendar_add_attendee.
Advanced Scheduling & Analysis: Beyond basic actions, the server provides advanced features for optimizing scheduling. mcp_google_calendar_check_attendee_status allows LLMs to determine attendee responses. mcp_google_calendar_query_free_busy checks availability across multiple calendars. The intelligent mcp_google_calendar_schedule_mutual automatically finds and books mutual free slots, and mcp_google_calendar_analyze_busyness provides valuable insights into event patterns.
FastAPI Server & MCP Integration: The server utilizes FastAPI for efficient API exposure and mcp_sdk for MCP compatibility, ensuring seamless integration with a range of AI agent platforms.

Installation and Configuration: A Step-by-Step Guide

Setting up the Google Calendar MCP Server is a straightforward process, thanks to the detailed instructions provided in the project documentation. Here’s a quick overview of the steps involved:

Prerequisites: Ensure you have Python 3.8+ and Git installed, along with access to a Google Cloud Platform project.
Clone Repository: Clone the repository from your version control system.
Google Cloud Setup (OAuth Credentials): Create a new project or select an existing one in the Google Cloud Console. Enable the Google Calendar API and create an OAuth client ID for a Desktop app. Configure the OAuth consent screen and add the necessary scopes.
Environment Configuration (.env file): Copy the env.example file to .env and paste your Client ID and Client Secret obtained from Google Cloud. Configure the necessary settings.
Install Dependencies: Install the required Python packages using pip install -r requirements.txt.
Running the Server (for Initial Authentication & Testing): Run the server script to complete the initial Google OAuth authentication flow.
MCP Client Configuration: Configure your MCP client to run the run_server.py script, providing the necessary command and arguments.

UBOS Platform Integration: Unleashing the Full Potential of AI Agents

The Google Calendar MCP Server seamlessly integrates with the UBOS platform, empowering you to build and deploy sophisticated AI agents that can intelligently manage your calendar and automate scheduling tasks. UBOS provides a comprehensive suite of tools and services for orchestrating AI agents, connecting them with your enterprise data, building custom AI agents with your LLM model, and creating multi-agent systems.

By leveraging the UBOS platform, you can easily integrate the Google Calendar MCP Server into your AI agent workflows, unlocking a new level of automation and efficiency. UBOS provides a user-friendly interface for configuring and managing your AI agents, allowing you to quickly deploy and scale your solutions.

License and Support: Ensuring Long-Term Success

The Google Calendar MCP Server is dual-licensed under the GNU Affero General Public License v3.0 (AGPL-3.0) and a commercial license. This dual-licensing model ensures that the project is accessible to both open-source enthusiasts and commercial users.

For users who require a commercial license, please contact deciduusleaf@gmail.com for inquiries regarding licensing options.

Conclusion: Empowering AI Agents with Smart Scheduling

The Google Calendar MCP Server is a powerful asset for any organization looking to leverage the power of AI agents for calendar management and scheduling automation. By seamlessly integrating with the UBOS platform, you can unlock a new level of productivity and efficiency, empowering your AI agents to intelligently manage your calendar and automate scheduling tasks.

Embrace the future of AI-powered scheduling with the Google Calendar MCP Server, available now on the UBOS Asset Marketplace.