Google Calendar MCP server

Integrates with Google Calendar API for viewing, creating, and managing calendar events to enhance scheduling assistance and meeting management without requiring application switching.
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Provider
Avik
Release date
May 13, 2025
Language
Go
Stats
2 stars

The Google Calendar Integration Project provides a programmable interface to manage Google Calendar events. It allows you to create, update, delete, and manage calendar events along with features like recurring events, attendee management, and notifications.

Prerequisites

  • Python 3.8 or higher
  • Google Cloud Platform account
  • Google Calendar API enabled
  • OAuth 2.0 credentials configured

Installation Options

Installing via Smithery

To install automatically via Smithery:

npx -y smithery install @Avik-creator/googlecalendarMCP --client claude

Manual Installation

1. Clone the Repository

git clone https://github.com/Avik-creator/googlecalendarMCP
cd googlecalendarMCP

2. Set Up Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install Dependencies

pip install -r requirements.txt

Google Cloud Platform Setup

1. Prepare Your Google Account:

  • Go to the Google Cloud Console
  • Create a new project or select an existing one
  • Enable the Google Calendar API

2. Set Up OAuth Credentials:

  • Navigate to APIs & Services > Credentials
  • Click "Create Credentials" > "OAuth client ID"
  • Choose "Desktop Application"
  • Download the credentials JSON file
  • Rename it to credentials.json and place it in the project root

3. Configure Environment Variables:

Create a .env file in the project root with:

GOOGLE_APPLICATION_CREDENTIALS=path/to/credentials.json
[email protected]

Using the Application

First-time Authentication

Run the authentication script to authorize your application:

python auth.py

This opens a browser window for OAuth authentication. Follow the prompts to grant necessary permissions.

Running the Application

Start the main application with:

python main.py

Key Features

  • Event Management: Create, read, update, and delete calendar events
  • Recurring Events: Set up events that repeat on specified schedules
  • Attendee Management: Add and manage event participants
  • Notifications: Configure reminders and notifications for events

Deployed Configuration

The project can be configured with the following settings:

{
  "mcpServers": {
    "google_calendar_mcp": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp-google-calendar.avikm744.workers.dev/sse"
      ]
    }
  }
}

Security Best Practices

  • Never commit sensitive files (credentials.json, token.json, .env) to version control
  • Keep OAuth credentials secure
  • Regularly rotate your credentials and tokens

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.

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