
Google Calendar MCP Server
Enables natural language queries to Google Calendar API for checking appointments, availability, and events. Supports flexible time ranges, timezone handling, and both service account and OAuth authentication methods.
README
Google Calendar MCP Server
An MCP (Model Context Protocol) server that connects to Google Calendar API to answer natural language questions about appointments and events.
Features
- Natural Language Queries: Ask questions like "What's on my schedule today?" or "Do I have any meetings tomorrow?"
- Flexible Time Ranges: Query events for specific dates, date ranges, or upcoming periods
- Availability Checking: Check if specific time slots are free or conflicted
- Timezone Support: Handle different timezones for accurate scheduling
- Structured Responses: Get formatted, easy-to-read calendar information
Setup
1. Google Calendar API Setup
Option A: Service Account (Recommended - No OAuth redirects needed)
- Go to the Google Cloud Console
- Create a new project or select existing one
- Enable the Google Calendar API
- Go to "APIs & Services" > "Credentials"
- Click "Create Credentials" > "Service Account"
- Create the service account and download the JSON key file
- Important: Share your Google Calendar with the service account email address (found in the JSON file as
client_email
)
Option B: OAuth 2.0 (Traditional method)
- Go to the Google Cloud Console
- Create a new project or select existing one
- Enable the Google Calendar API
- Create credentials (OAuth 2.0 client ID) for a desktop application
- Download the credentials JSON file
2. Configuration
For Service Account:
- Copy the service account JSON file to
service-account-key.json
, OR - Set as environment variable:
export GOOGLE_SERVICE_ACCOUNT_KEY='{"type": "service_account", ...}'
For OAuth 2.0:
- Copy the downloaded credentials file to
credentials.json
, OR - Set as environment variable:
export GOOGLE_CREDENTIALS_JSON='{"installed": {...}}'
3. Installation
Install required dependencies:
pip install google-auth google-auth-oauthlib google-api-python-client mcp python-dateutil pytz
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.