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How to integrate Eventee MCP with Autogen

Connect Autogen to Eventee MCP. List all upcoming events this month, add keynote speaker to annual conference, and more using natural language, with authentication handled for you.

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Eventee is a user-friendly event management platform for mobile and web. It boosts attendee engagement for in-person, virtual, and hybrid events.

22 Tools

Introduction

This guide walks you through connecting Eventee to AutoGen using the Composio tool router. By the end, you'll have a working Eventee agent that can invite attendees, add speakers, manage halls and partners, update lectures, and check registrations and session reviews through natural language commands.

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

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

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Eventee with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIPydantic AI

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 Eventee
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Eventee tools
  • Run a live chat loop where you ask the agent to perform Eventee 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 Eventee MCP server, and what's possible with it?

The Eventee MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Eventee account. It provides structured and secure access to your event management workspace, so your agent can list events, add new speakers, and manage speaker lineups with ease.

  • Retrieve all scheduled events: Instantly get a comprehensive list of your upcoming and past events, making it easy for your agent to reference, review, or summarize them for you.
  • Add new speakers to events: Have your agent seamlessly add speakers to any specific Eventee event, streamlining the process of building out your event agenda.
  • Delete speakers from events: Let your agent remove speakers by their ID, ensuring your speaker lineup stays accurate and up to date without manual intervention.
  • Automate speaker management workflows: Enable your agent to help with onboarding, updating, or cleaning up speaker information across multiple events, saving you time and reducing errors.

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 Eventee 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 Eventee 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 Eventee 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 Eventee session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["eventee"]
    )
    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 Eventee 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 Eventee assistant agent with MCP tools
    agent = AssistantAgent(
        name="eventee_assistant",
        description="An AI assistant that helps with Eventee 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 Eventee 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 Eventee 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 Eventee 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 Eventee 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 Eventee session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["eventee"]
    )
    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 Eventee assistant agent with MCP tools
        agent = AssistantAgent(
            name="eventee_assistant",
            description="An AI assistant that helps with Eventee 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 Eventee 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 Eventee 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 Eventee, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Add speaker

Add a speaker to the Eventee event associated with the API token, with a name and optional profile details.

Create Hall

Tool to create a new hall/stage for an event where sessions can be scheduled.

Create Label

Tool to create a new label/track for categorizing event sessions by topic or theme.

Create Partner

Submit a request to create a partner for the Eventee event associated with the API token, supplying company and optional contact details for the event's partner listings.

Create Pause

Tool to create a new break/pause in the event schedule (e.

Delete Attendee

Removes an attendee from the event by email address.

Delete Hall

Deletes a hall or stage from the event by ID.

Delete Partner

Tool to delete a partner/sponsor by their ID.

Delete Registration

Tool to remove a registration from the event by email address.

Delete Speaker

Delete a speaker by ID from the Eventee event associated with the API token.

Delete Test Content

Tool to clear all test content from the event.

Get Groups

Tool to retrieve all event groups from Eventee (e.

Get Participants

Tool to retrieve all participants/attendees for an Eventee event.

Get Partners

Retrieve partners for the Eventee event associated with the API token.

Get Registrations

Tool to retrieve all registrations for an Eventee event.

Get Reviews

Retrieve session reviews for the Eventee event associated with the API token.

Invite Attendee

Invites attendees to the event using their email addresses.

Invite Registration

Submits registration invitations for one or more email addresses.

List Events

Retrieves the event content structure for the event associated with the API token.

Update Hall

Updates an event hall or stage by ID, including its name, order or existing stream code.

Update Lecture

Updates an existing lecture or session by ID, with name, start and end required.

Update Partner

Tool to update an existing partner/sponsor details.

FRAMEWORKS

How to build Eventee MCP Agent with another framework

Claude Code logo

Claude Code

Use Eventee MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Eventee MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Eventee MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Eventee MCP with Claude Agent SDK

Codex logo

Codex

Use Eventee MCP with Codex

OpenClaw logo

OpenClaw

Use Eventee MCP with OpenClaw

Hermes logo

Hermes

Use Eventee MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Eventee MCP with Atomic Agent

Google ADK logo

Google ADK

Use Eventee MCP with Google ADK

LangChain logo

LangChain

Use Eventee MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Eventee MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Eventee MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Eventee MCP with LlamaIndex

CrewAI logo

CrewAI

Use Eventee MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Eventee MCP with Pydantic AI

FAQ

Frequently asked questions

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