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Google Calendar MCP Server

Google Calendar MCP Server

Local
github.com/agc129Productivity0Updated 82w ago

About Google Calendar MCP Server

Google Calendar MCP Server lets LLM applications manage Google Calendar data. It supports calendar and event listing, event creation, updates, and deletion.

Key features

  1. 01List available calendars
  2. 02List calendar events
  3. 03Create calendar events
  4. 04Update existing events
  5. 05Delete events

Use cases

  1. 01Find events in a selected calendar
  2. 02Create a calendar event
  3. 03Update or delete an event

MCP support

An MCP server that exposes Google Calendar calendar and event operations to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Google Calendar MCP Server

This is a Model Context Protocol (MCP) server that provides integration with Google Calendar. It allows LLMs application manage calendar events through a standardized interface.

Features

  • List available calendars
  • List events from a calendar
  • Create new calendar events
  • Update existing events
  • Delete events

Google Cloud Setup

  1. Go to the Google Cloud Console
  2. Create a new project or select an existing one.
  3. Enable the Google Calendar API.
  4. Create OAuth 2.0 credentials:
    • Go to Credentials
    • Click "Create Credentials" > "OAuth client ID"
    • Choose "User data" as the type of data the app will be accessing.
    • Add your app name and contact information.
    • Add the following scope (optional):
      • https://www.googleapis.com/auth/calendar.events
    • Select "Desktop app" as the application type.
    • Add your email address as a test user under the OAuth Consent screen.
      • Note: It may take a few minutes for the test user to propagate.

Installation

Steps
  1. Clone the repository:
    git clone <repository-url>
    cd gcal-mcp-server
    
  2. Create a virtual environment:
    uv venv
    # On Mac / linux
    source .venv/bin/activate
    # On Windows
    .venv\Scripts\activate
    # Install package in editable mode
    uv pip install -e .
    

Usage

  1. Set up the .env file with the required environment variables for LLMs.
  2. Run the server:
    uv run client.py
    

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