How to integrate Calendly MCP with Autogen

This guide walks you through connecting Calendly to AutoGen using the Composio tool router. By the end, you'll have a working Calendly agent that can create a single-use scheduling link for your next meeting, cancel your 2pm event with a reason, mark an invitee as no-show for today's appointment through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Calendly account through Composio's Calendly MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Calendly is an appointment scheduling tool that automates meeting invitations, availability checks, and reminders. It helps individuals and teams avoid endless email back-and-forth when booking meetings.

51 Tools

Introduction

This guide walks you through connecting Calendly to AutoGen using the Composio tool router. By the end, you'll have a working Calendly agent that can create a single-use scheduling link for your next meeting, cancel your 2pm event with a reason, mark an invitee as no-show for today's appointment through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Calendly account through Composio's Calendly MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Calendly with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Calendly
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Calendly tools
  • Run a live chat loop where you ask the agent to perform Calendly operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

What is the Calendly MCP server, and what's possible with it?

The Calendly MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Calendly account. It provides structured and secure access to your scheduling workflows, so your agent can perform actions like creating personalized scheduling links, managing events, handling invitee statuses, and automating reminders on your behalf.

  • Instant scheduling link creation: Direct your agent to generate single-use or shareable scheduling links so others can book time with you instantly—no more back-and-forth emails.
  • Automated event and invitee management: Have your agent cancel events, mark invitees as no-shows, or remove no-show statuses to keep your calendar accurate and up to date.
  • Custom one-off event setup: Empower your agent to create unique, one-off meeting types for special situations, bypassing your regular availability rules.
  • Webhook subscription automation: Let the agent set up webhook subscriptions to trigger notifications or workflows in real time when events happen in your Calendly account.
  • Data privacy and compliance actions: Instruct your agent to delete invitee data or scheduled event records as needed for privacy or regulatory compliance, especially for enterprise use cases.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Calendly account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Calendly via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Calendly connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Calendly session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["calendly"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Calendly tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Calendly assistant agent with MCP tools
    agent = AssistantAgent(
        name="calendly_assistant",
        description="An AI assistant that helps with Calendly operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Calendly tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Calendly related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Calendly tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Calendly and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Calendly session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["calendly"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Calendly assistant agent with MCP tools
        agent = AssistantAgent(
            name="calendly_assistant",
            description="An AI assistant that helps with Calendly operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Calendly related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Calendly through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Calendly, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every Calendly action and event your agent gets out of the box.

Cancel scheduled event

Tool to cancel a scheduled Calendly event by creating a cancellation record.

Create Event Type

Tool to create a new one-on-one event type (kind: solo) in Calendly.

Create One-Off Event Type

Creates a temporary Calendly one-off event type for unique meetings outside regular availability, requiring valid host/co-host URIs, a future date/range for `date_setting`, and a positive `duration`.

Create scheduling link

Create a single-use scheduling link.

Create share

Creates a customizable, one-time share link for a Calendly event type, allowing specific overrides to its settings (e.

Create single use scheduling link

Creates a one-time, single-use scheduling link for an active Calendly event type, expiring after one booking.

Create webhook subscription

Tool to create a webhook subscription for receiving Calendly event notifications.

Delete invitee data

Permanently removes all invitee data associated with the provided emails from past organization events, for data privacy compliance (requires Enterprise subscription; deletion may take up to one week).

Delete invitee no show

Deletes an Invitee No-Show record by its `uuid` to reverse an invitee's 'no-show' status; the `uuid` must refer to an existing record.

Delete organization membership

Tool to remove a user from a Calendly organization by membership UUID.

Delete scheduled event data

For Enterprise users, initiates deletion of an organization's scheduled event data between a `start_time` and `end_time` (inclusive, where `start_time` must be <= `end_time`); actual data deletion may take up to 7 days to complete.

Delete webhook subscription

Deletes an existing webhook subscription to stop Calendly sending event notifications to its registered callback URL; this operation is idempotent.

Get event

Use to retrieve a specific Calendly scheduled event by its UUID, provided the event exists in the user's Calendly account.

Get event invitee

Retrieves detailed information about a specific invitee of a scheduled event, using their unique UUIDs.

Get event type

Retrieves details for a specific Calendly event type, identified by its UUID, which must be valid and correspond to an existing event type.

Get event type availability

Tool to retrieve availability schedules configured for a specific Calendly event type.

Get group

Retrieves all attributes of a specific Calendly group by its UUID; the group must exist.

Get group relationship

Retrieves a specific Calendly group relationship by its valid and existing UUID, providing details on user-group associations and membership.

Get invitee no show

Retrieves details for a specific Invitee No Show record by its UUID; an Invitee No Show is marked when an invitee does not attend a scheduled event.

Get organization

Tool to retrieve information about a specific Calendly organization.

Get organization invitation

Retrieves a specific Calendly organization invitation using its UUID and the parent organization's UUID.

Get organization membership

Retrieves a specific Calendly organization membership by its UUID, returning all its attributes.

Get routing form

Retrieves a specific routing form by its UUID, providing its configuration details including questions and routing logic.

Get routing form submission

Tool to retrieve details about a specific routing form submission by its UUID.

Get sample webhook data

Tool to retrieve sample webhook payload data for testing webhook subscriptions.

Get user

Retrieves comprehensive details for an existing Calendly user.

Get user availability schedule

Retrieves an existing user availability schedule by its UUID; this schedule defines the user's default hours of availability.

Get webhook subscription

Retrieves the details of an existing webhook subscription, identified by its UUID, including its callback URL, subscribed events, scope, and state.

Mark invitee as no-show

Tool to mark an invitee as a no-show for a scheduled event.

List activity log entries

Retrieves a list of activity log entries for a specified Calendly organization (requires an active Enterprise subscription), supporting filtering, sorting, and pagination.

List event invitees

Retrieves a list of invitees for a specified Calendly event UUID, with options to filter by status or email, and sort by creation time.

List event type available times

Fetches available time slots for a Calendly event type within a specified time range; results are not paginated.

List event type hosts

Tool to retrieve a list of event type hosts (memberships) for a specific event type.

List Event Types

Tool to list all Event Types associated with a specified User or Organization.

List group relationships

Retrieves a list of group relationships defining an owner's role (e.

List groups

Returns a list of groups for a specified Calendly organization URI, supporting pagination.

List organization invitations

Retrieves a list of invitations for a specific organization, identified by its UUID.

List organization memberships

Retrieves a list of organization memberships.

List outgoing communications

Retrieves a list of outgoing SMS communications for a specified organization; requires an Enterprise subscription and if filtering by creation date, both `min_created_at` and `max_created_at` must be provided to form a valid range.

List routing forms

Retrieves routing forms for a specified organization; routing forms are questionnaires used to direct invitees to appropriate booking pages or external URLs.

List scheduled events

Tool to retrieve a list of scheduled Calendly events.

List user availability schedules

Retrieves all availability schedules for the specified Calendly user.

List user busy times

Fetches a user's busy time intervals (internal and external calendar events) in ascending order for a period up to 7 days; keyset pagination is not supported.

List User Meeting Locations

Tool to retrieve configured meeting location information for a given Calendly user.

List webhook subscriptions

Retrieves webhook subscriptions for a Calendly organization; `scope` determines if `user` or `group` URI is also required for filtering.

Invite user to organization

Tool to invite a user to a Calendly organization via email.

Create Event Invitee

Tool to create a new Event Invitee with standard notifications, calendar invites, reschedules, and workflows.

Remove user from organization

Removes a user (who is not an owner) from an organization by their membership UUID, requiring administrative privileges.

Revoke a user's organization invitation

Revokes a pending and revokable (not yet accepted or expired) organization invitation using its UUID and the organization's UUID, rendering the invitation link invalid.

Update Event Type

Tool to update an existing one-on-one event type (kind: solo) in Calendly.

Update Event Type Availability

Tool to update an event type availability schedule in Calendly.

FAQ

Frequently asked questions

With a standalone Calendly MCP server, the agents and LLMs can only access a fixed set of Calendly tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Calendly and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Calendly tools.

Yes, absolutely. You can configure which Calendly scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Calendly data and credentials are handled as safely as possible.

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