This project provides a Model Context Protocol (MCP) server integration for the Cal.com API, enabling Language Learning Models (LLMs) to interact programmatically with Cal.com's scheduling features. It exposes endpoints for managing event types, bookings, schedules, users, teams, and webhooks, making it suitable for developers or organizations looking to automate scheduling workflows, integrate with conversational AI, or build advanced scheduling assistants leveraging Cal.com's infrastructure.
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Comprehensive API reference for integrating with Cal.com's scheduling features.
Insights, updates, and tutorials on how to make the most of Cal.com and its API.