How to integrate Modem MCP with Autogen

This guide walks you through connecting Modem to AutoGen using the Composio tool router. By the end, you'll have a working Modem agent that can create company records, add your contacts, review company activity, trace histories, and check identities through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Modem account through Composio's Modem MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Modem

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Modem is a customer intelligence platform that turns conversations into structured topics, people, and company insights. Use it to analyze feedback patterns and automate customer workflows faster.

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Introduction

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

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

Also integrate Modem with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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

The Modem MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Modem account. It provides structured and secure access to your customer conversation topics, people, companies, channels, and activity insights, so your agent can search topics, analyze engagement, manage customer records, review histories, and organize insights on your behalf.

Topic discovery and analysis: Have your agent search customer conversation topics by keywords or meaning, then review summaries, classifications, priorities, participants, message groups, and history.
People and company insights: Let the agent find people and companies, inspect their profiles and conversation activity, and see how engagement breaks down across sources.
Customer record management: Direct your agent to create or update people and companies, associate people with companies, and connect external records to the right profiles.
Channel and activity monitoring: Instruct your agent to review connected conversation channels, message counts, company activity trends, and source-level engagement.
Data cleanup and topic organization: Have your agent update topic priorities or archive states, inspect change histories, and merge duplicate topics, people, or companies when needed.

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:

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

Step-by-step Guide

Step by step08 STEPS

Prerequisites

You will need:

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

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.

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 Modem via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

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 Modem connections to use

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 Modem session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["modem"]
    )
    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 Modem tools
session.mcp.url is the MCP endpoint that Autogen will connect to

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

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 Modem assistant agent with MCP tools
    agent = AssistantAgent(
        name="modem_assistant",
        description="An AI assistant that helps with Modem 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 Modem tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Modem 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 Modem 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 Modem 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 Modem session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["modem"]
    )
    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 Modem assistant agent with MCP tools
        agent = AssistantAgent(
            name="modem_assistant",
            description="An AI assistant that helps with Modem 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 Modem 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 Modem 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 Modem, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

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

Add People to Company

Associate one or more existing people with an existing company.

Create Companies

Create one to 50 companies in one batch.

Create People

Create one to 50 people in one batch.

Get Channel

Get one channel's source details, connection state, context, timestamps, and message count by UUID.

Get Company

Get one company's core details, connection values, domain, logo, and VIP status by decimal ID.

Get Company Activity

Get one company's message count, weekly activity series, and source-level message breakdown.

Get Company History

Get up to 50 company audit records plus merge history.

Get Company Identities

Get external platform identities linked to one company by Modem's identify operation.

Get Current Organization

Return the organization selected by the connected API key.

Get Person

Get one person's complete profile, including company, connections, tags, sources, timestamps, identities, and message activity aggregates.

Get Person History

Get up to 50 person audit records plus merge history.

Get Person Identities

Get all external platform identities linked to one person.

Get Person Source Stats

Get one person's message counts broken down by source platform.

Get Topic

Get one topic's complete details, including its summary, classification, lifecycle, priority, keywords, time range, archive state, and event count.

Get Topic Groups

Get every message group assigned to one topic in ascending or descending group-time order.

Get Topic History

Get up to 50 topic audit records plus action and merge history.

Get Topic People

Get every unique person who participated in one topic, including source identities, company, profile, VIP state, and contribution count.

Identify External Records

Upsert links from external platform records to Modem people and companies in batches of 50.

List Channels

List organization channels with connection state and message counts, optionally filtered by source, name, or channel IDs.

List Companies

List companies with person and message aggregates, optionally searching and sorting the result.

List Groups

List message groups for exactly one company or one person, returning compact message content and topic context one page at a time.

List People

List people with aggregated message statistics, optionally filtering by search text, ecosystem tags, or company and sorting the result.

List and Search Topics

List or search topics by keywords or semantic meaning with organization, participant, source, status, date, and classification filters, one page at a time.

Merge Companies Irreversibly

Irreversibly merge one or more source companies into one surviving target.

Merge People Irreversibly

Irreversibly merge one or more source people into one surviving target.

Merge Topics Irreversibly

Irreversibly merge 1 to 50 source topics into one surviving target.

Update Companies

Update one to 50 companies in one batch.

Update People

Update one to 50 people in one batch.

Update Topic

Update one topic's priority, lifecycle, issue type, complete keyword list, or archive state.

Update Topics

Set priority or archive state for one to 100 topics at once.

FRAMEWORKS

How to build Modem MCP Agent with another framework

OpenAI Agents SDK

Use Modem MCP with OpenAI Agents SDK

Claude Agent SDK

Use Modem MCP with Claude Agent SDK

Claude Code

Use Modem MCP with Claude Code

Claude Cowork

Use Modem MCP with Claude Cowork

Codex

Use Modem MCP with Codex

OpenClaw

Use Modem MCP with OpenClaw

Hermes

Use Modem MCP with Hermes

CLI

Use Modem MCP with CLI

Google ADK

Use Modem MCP with Google ADK

LangChain

Use Modem MCP with LangChain

Vercel AI SDK

Use Modem MCP with Vercel AI SDK

Mastra AI

Use Modem MCP with Mastra AI

LlamaIndex

Use Modem MCP with LlamaIndex

CrewAI

Use Modem MCP with CrewAI

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Browseai

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Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping.

FAQ

Frequently asked questions

With a standalone Modem MCP server, the agents and LLMs can only access a fixed set of Modem tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Modem 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 Modem tools.

Yes, absolutely. You can configure which Modem 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 Modem data and credentials are handled as safely as possible.

Start with Modem.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Modem tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Modem MCP with Autogen

Connect Modem without auth hassles

Introduction

Also integrate Modem with

TL;DR

What is AutoGen?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools

How to build Modem MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Baremetrics

Bing Webmaster Tools

Bread & Butter

Browseai

Frequently asked questions

What are the differences in Tool Router MCP and Modem MCP?+

Can I use Tool Router MCP with Autogen?+

Can I manage the permissions and scopes for Modem while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Modem.It takes 30 seconds.

Teams ship real agents on Composio