Calendly MCP

Connect Calendly to your AI agents using the Model Context Protocol (MCP), enabling seamless integration with calendly.com's services through standardized interfaces.

  • calendly.com

    Fetch Calendly Event

    Fetch details of a specific scheduled event in Calendly
    calendly
    event
    fetch
  • calendly.com

    List Calendly Events

    List all scheduled events from Calendly
    calendly
    event
    list
  • calendly.com

    List Calendly Events by Date Range

    List scheduled events from Calendly within a specific date range
    daterange
    calendly
    event
    list
  • What is Calendly MCP?

    The Model Context Protocol (MCP) is an open standard that provides a unified way for AI applications to connect with external tools and data sources. Instead of building custom integrations for every service, MCP provides a standardized interface that allows AI models to discover available tools, understand their capabilities, and execute them safely and securely.

    With Calendly MCP integration, you can:

    • Dynamically discover tools: Your AI agents automatically find and understand Calendly's available capabilities through the MCP server
    • Standardized integration: Use a consistent protocol instead of learning platform-specific APIs
    • Real-time capabilities: Tools are loaded and executed on-demand during conversations
    • Secure execution: Maintain proper authentication and isolation through ChatBotKit's MCP implementation
    • No custom coding: Leverage Calendly's functionality without writing integration code

    How Calendly MCP Works

    ChatBotKit's MCP action provides a powerful way to dynamically extend your AI agent's capabilities by loading tools from Calendly's MCP server.

    Connect to MCP Server

    ChatBotKit establishes a connection to Calendly API endpoints, initiating secure communication.

    Discover Available Tools

    The system automatically discovers all available Calendly tools and their schemas through the MCP protocol.

    Load Tool Definitions

    Tool definitions are loaded into your conversation context, making them available to your AI agent.

    Execute Securely

    Your AI uses these tools as if they were native abilities, with secure execution and proper authentication.