How to integrate Kommo MCP with OpenAI Agents SDK

This guide walks you through connecting Kommo to the OpenAI Agents SDK 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 OpenAI Agents SDK 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 the OpenAI Agents SDK 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 OpenAI Agents SDK 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 necessary dependencies
  • Initialize Composio and create a Tool Router session for Kommo
  • Configure an AI agent that can use Kommo as a tool
  • Run a live chat session where you can ask the agent to perform Kommo operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Kommo project
  • Some knowledge of Python or Typescript
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
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Kommo.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Kommo
const session = await composio.create(userId as string, {
  toolkits: ['kommo'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only kommo.
  • The router checks the user's Kommo connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Kommo.
  • This approach keeps things lightweight and lets the agent request Kommo tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Kommo. Help users perform Kommo operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Kommo and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Kommo operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Kommo.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Kommo and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['kommo'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Kommo. Help users perform Kommo operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});

Conclusion

This was a starter code for integrating Kommo MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Kommo.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
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. OpenAI Agents SDK 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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