Calendly MCP Server

Calendly MCP Server – Seamless Scheduling for AI Assistants

The Calendly MCP server bridges the gap between conversational AI and professional scheduling. It exposes a rich set of tools that let an assistant query the authenticated user, list and manage events, retrieve invitee details, and even handle organization memberships—all through a single, consistent interface. For developers building AI‑driven workflows, this means they no longer need to write custom integrations or manage OAuth flows for each user; the server handles authentication, request routing, and response formatting automatically.

One of the standout capabilities is the email‑automation feature. Once an event type is created, the server can automatically dispatch branded booking invitation emails via SendGrid, Resend, or any SMTP provider. The templates are fully customizable, allowing the host’s branding and dynamic meeting information to be embedded without additional code. This end‑to‑end experience—creating an event, sending invitations, and confirming attendance—makes the server ideal for sales teams, coaching services, or any scenario where a professional needs to book meetings quickly and consistently.

Key features include:

• User & Organization Insight: Retrieve the current user’s profile and list all organization memberships.
• Event Lifecycle Management: List, fetch details of, or cancel scheduled events with minimal latency.
• Invitee Administration: Pull invitee lists and manage their status in real time.
• Email Automation: Send polished, HTML invitation emails that include host details and booking links.
• Multi‑Provider Support: Seamlessly switch between SendGrid, Resend, or SMTP/Nodemailer for email delivery.

Typical use cases involve AI assistants that help clients book appointments, schedule follow‑ups after a call, or automate recurring meetings. For example, an AI can respond to “Schedule a 30‑minute sync with John next week,” create the event, and immediately send a professional invitation to all participants. In a customer support setting, the assistant can pull upcoming events, cancel conflicts, and notify stakeholders—all without leaving the chat.

Integration into an AI workflow is straightforward: the MCP server is registered as a tool in the assistant’s configuration, and its capabilities become part of the model’s context. The server’s responses are returned as structured data, allowing downstream logic to process results or trigger additional actions. Because the server handles authentication internally—supporting both personal access tokens and OAuth 2.0—it scales from single‑user prototypes to multi‑tenant applications with minimal friction.

In summary, the Calendly MCP server empowers developers to add robust scheduling and email automation to AI assistants with a single, well‑documented interface. It eliminates repetitive boilerplate code, ensures consistent branding in communications, and provides a scalable foundation for any application that requires reliable appointment management.