How to integrate Kommo MCP with Autogen

This guide walks you through connecting Kommo to AutoGen using the Composio tool router. By the end, you'll have a working Kommo agent that can add a new lead with contact info, list all companies created this week, create a follow-up task for a lead through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Kommo account through Composio's Kommo MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Kommo is a CRM platform for managing your leads, contacts, and sales pipelines. It helps businesses organize customer interactions, automate workflows, and boost team productivity.

53 Tools

Introduction

This guide walks you through connecting Kommo to AutoGen using the Composio tool router. By the end, you'll have a working Kommo agent that can add a new lead with contact info, list all companies created this week, create a follow-up task for a lead through natural language commands.

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

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

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

The Kommo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Kommo CRM account. It provides structured and secure access to your customer data, so your agent can perform actions like creating leads, managing contacts, tracking companies, organizing pipelines, and automating tasks on your behalf.

  • Lead and pipeline management: Automatically create new leads, list existing leads, and organize them within your sales pipelines, helping you stay on top of every sales opportunity.
  • Contact and company handling: Effortlessly add or list contacts and companies, making it simple for your agent to keep your CRM up to date and accessible.
  • Task automation and tracking: Let your agent create tasks for follow-ups, reminders, or next steps, so nothing falls through the cracks in your customer relationships.
  • Pipeline stage and custom field access: Retrieve and list pipeline stages and custom fields, enabling your agent to analyze and optimize your sales processes with tailored data.
  • Business process automation: Leverage structured tools to automate repetitive actions like updating records or filtering data, saving you time and reducing manual effort.

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

Supported Tools

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

Add AI Source File

Tool to add a knowledge source file to Kommo AI.

Create Kommo Companies

Action to add one or more companies into the Kommo account.

Create Kommo Contact

Action to create one or more contacts in Kommo CRM.

Create Kommo Lead

Action to create a lead in Kommo CRM.

Create Kommo Task

Action to create a task in Kommo CRM.

Delete Kommo Files

Tool to delete files (move to trash) in Kommo.

Get Kommo Account

Tool to get account information including user data, custom fields, task types, user groups, amojo rights, and integration status.

Get Kommo Company

Tool to get a company by its ID from Kommo CRM.

Get Kommo Contact

Tool to get a specific contact by its ID from Kommo CRM.

Get Kommo Custom Field

Tool to retrieve a custom field by its ID from Kommo CRM.

Get Kommo Event

Tool to get a specific event by its ID from Kommo CRM.

Get Kommo Field Group

Tool to retrieve a custom field group by its ID from Kommo CRM.

Get File Links

Tool to get entities associated with a file in Kommo.

Get Incoming Leads Summary

Tool to retrieve summary statistics for incoming (unsorted) leads in Kommo CRM.

Get Kommo Lead

Tool to get a lead by its ID from Kommo CRM.

Get Kommo Loss Reason

Tool to retrieve a specific loss reason by its ID from Kommo CRM.

Get Kommo Pipeline

Tool to get a pipeline by its ID from Kommo CRM.

Get Kommo Pipeline Status

Tool to get a specific pipeline stage by its ID from Kommo CRM.

Get Kommo Task

Tool to retrieve a task by its ID from Kommo CRM.

Get Kommo User

Tool to retrieve user data by its ID from Kommo CRM.

Get Kommo Widget Info

Tool to get detailed information about a widget by its code.

Import Products to AI

Tool to launch import of products from CRM to AI knowledge base.

List Kommo Catalogs

Tool to retrieve a list of catalogs (lists) from Kommo CRM.

List Kommo Companies

Action to list Kommo companies with various filter options.

List Kommo Contacts

Action to list contacts in Kommo CRM.

List Kommo Conversations

Tool to get a list of conversations from Kommo CRM.

List Kommo Custom Fields

Action to list custom fields in Kommo CRM.

List Entity Files

Tool to retrieve a list of files attached to an entity in Kommo CRM.

List Kommo Entity Links

Tool to get a list of entities linked to a specific entity in Kommo.

List Kommo Entity Notes

Tool to get a list of all notes for an entity type (leads, contacts, or companies) in Kommo CRM.

List Kommo Entity Tags

Tool to get a list of tags for an entity type (leads, contacts, or companies).

List Kommo Events

Tool to get a list of events from Kommo CRM with filtering options.

List Kommo Event Types

Tool to get a list of all available event types in Kommo CRM.

List Kommo Field Groups

Tool to get a list of custom field groups for an entity type in Kommo CRM.

List Kommo Files

Tool to retrieve a list of files from Kommo Drive.

List Incoming Leads

Tool to get a list of incoming leads (unsorted) from Kommo with filtering and pagination.

List Kommo Leads

Action to list leads in Kommo CRM.

List Kommo Lead Pipelines

Action to list lead pipelines in Kommo CRM.

List Kommo Loss Reasons

Action to list loss reasons for leads in Kommo CRM.

List Kommo Notes By Entity

Tool to get notes for a specific entity by its ID in Kommo CRM.

List Kommo Pipeline Stages

Action to list stages of a pipeline in Kommo CRM.

List Kommo User Roles

Tool to get a list of user roles in Kommo CRM.

List Kommo Lead Sources

Tool to get a list of lead sources in Kommo CRM.

List Kommo Tasks

Action to list tasks in Kommo CRM.

List Kommo Templates

Tool to get a list of message templates in Kommo CRM.

List Kommo Users

Tool to get a list of users from Kommo CRM with pagination support.

List Kommo Webhooks

Tool to get a list of registered webhooks for the Kommo account.

List Kommo Website Buttons

Tool to get a list of website chat button (CRM Plugin) objects from Kommo.

List Kommo Widgets

Tool to get a list of installed widgets in Kommo.

Update Kommo Company

Action to update a single company in Kommo CRM.

Update Kommo Contact

Action to update contact information in Kommo CRM by contact ID.

Update Kommo Lead

Action to update an existing lead in Kommo CRM.

Update Kommo Task

Action to update a task in Kommo CRM.

FAQ

Frequently asked questions

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

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

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