Provides access to Google Calendar API to list and retrieve calendar events.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Google Calendar MCP Serverlist my upcoming events"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Google Calendar MCP Server
An MCP (Model Context Protocol) server that provides access to the Google Calendar API, allowing AI assistants to interact with Google Calendar data.
Features
List and retrieve items from the Google Calendar API
Async HTTP client with error handling
Typed responses with Pydantic models
Related MCP server: google-calendar-mcp
Installation
Using mpak (Recommended)
# Configure your API key
mpak config set @JoeCardoso13/google-calendar access_token=your_oauth_token_here
# Run the server
mpak run @JoeCardoso13/google-calendarManual Installation
# Clone the repository
git clone https://github.com/NimbleBrainInc/mcp-google-calendar.git
cd mcp-google-calendar
# Install dependencies with uv
uv sync
# Set your OAuth access token
export GOOGLE_CALENDAR_ACCESS_TOKEN=your_oauth_token_here
# Run the server
uv run python -m mcp_google_calendar.serverConfiguration
Getting Your Access Token
Google Calendar requires OAuth 2.0 access tokens (not API keys). The easiest way to get one for testing:
Select "Google Calendar API v3" and check the scopes you need
Click "Authorize APIs" and sign in with your Google account
Click "Exchange authorization code for tokens"
Copy the access token (expires after 1 hour)
Claude Desktop Configuration
Add to your ~/.claude/settings.json:
{
"mcpServers": {
"google-calendar": {
"command": "mpak",
"args": ["run", "@JoeCardoso13/google-calendar"]
}
}
}Available Tools
Tool | Description |
| List items from the API with optional limit |
| Get a single item by its ID |
Development
# Install dev dependencies
uv sync --dev
# Run tests
uv run pytest tests/ -v
# Format code
uv run ruff format src/ tests/
# Lint
uv run ruff check src/ tests/
# Type check
uv run ty check src/
# Run all checks
make checkLicense
MIT
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Maintenance
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