Kommo with Pydantic AI

How to integrate Kommo MCP with Pydantic AI

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Introduction Also integrate Kommo with TL;DR What is Pydantic AI What is the Kommo MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Kommo MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Kommo to Pydantic AI 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 Pydantic AI 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.

Also integrate Kommo 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:

How to set up your Composio API key and User ID
How to create a Composio Tool Router session for Kommo
How to attach an MCP Server to a Pydantic AI agent
How to stream responses and maintain chat history
How to build a simple REPL-style chat interface to test your Kommo workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

Type Safety: Built on Pydantic for automatic data validation
MCP Support: Native support for Model Context Protocol servers
Streaming: Built-in support for streaming responses
Async First: Designed for async/await patterns

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.

Supported Tools & Triggers

Tools

Add AI Source FileTool to add a knowledge source file to Kommo AI.

Create Kommo CompaniesAction to add one or more companies into the Kommo account.

Create Kommo ContactAction to create one or more contacts in Kommo CRM.

Create Kommo LeadAction to create a lead in Kommo CRM.

Create Kommo TaskAction to create a task in Kommo CRM.

Delete Kommo FilesTool to delete files (move to trash) in Kommo.

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

Get Kommo CompanyTool to get a company by its ID from Kommo CRM.

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

Get Kommo Custom FieldTool to retrieve a custom field by its ID from Kommo CRM.

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

Get Kommo Field GroupTool to retrieve a custom field group by its ID from Kommo CRM.

Get File LinksTool to get entities associated with a file in Kommo.

Get Incoming Leads SummaryTool to retrieve summary statistics for incoming (unsorted) leads in Kommo CRM.

Get Kommo LeadTool to get a lead by its ID from Kommo CRM.

Get Kommo Loss ReasonTool to retrieve a specific loss reason by its ID from Kommo CRM.

Get Kommo PipelineTool to get a pipeline by its ID from Kommo CRM.

Get Kommo Pipeline StatusTool to get a specific pipeline stage by its ID from Kommo CRM.

Get Kommo TaskTool to retrieve a task by its ID from Kommo CRM.

Get Kommo UserTool to retrieve user data by its ID from Kommo CRM.

Get Kommo Widget InfoTool to get detailed information about a widget by its code.

Import Products to AITool to launch import of products from CRM to AI knowledge base.

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

List Kommo CompaniesAction to list Kommo companies with various filter options.

List Kommo ContactsAction to list contacts in Kommo CRM.

List Kommo ConversationsTool to get a list of conversations from Kommo CRM.

List Kommo Custom FieldsAction to list custom fields in Kommo CRM.

List Entity FilesTool to retrieve a list of files attached to an entity in Kommo CRM.

List Kommo Entity LinksTool to get a list of entities linked to a specific entity in Kommo.

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

List Kommo Entity TagsTool to get a list of tags for an entity type (leads, contacts, or companies).

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

List Kommo Event TypesTool to get a list of all available event types in Kommo CRM.

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

List Kommo FilesTool to retrieve a list of files from Kommo Drive.

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

List Kommo LeadsAction to list leads in Kommo CRM.

List Kommo Lead PipelinesAction to list lead pipelines in Kommo CRM.

List Kommo Loss ReasonsAction to list loss reasons for leads in Kommo CRM.

List Kommo Notes By EntityTool to get notes for a specific entity by its ID in Kommo CRM.

List Kommo Pipeline StagesAction to list stages of a pipeline in Kommo CRM.

List Kommo User RolesTool to get a list of user roles in Kommo CRM.

List Kommo Lead SourcesTool to get a list of lead sources in Kommo CRM.

List Kommo TasksAction to list tasks in Kommo CRM.

List Kommo TemplatesTool to get a list of message templates in Kommo CRM.

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

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

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

List Kommo WidgetsTool to get a list of installed widgets in Kommo.

Update Kommo CompanyAction to update a single company in Kommo CRM.

Update Kommo ContactAction to update contact information in Kommo CRM by contact ID.

Update Kommo LeadAction to update an existing lead in Kommo CRM.

Update Kommo TaskAction to update a task in Kommo CRM.

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

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account with an active API key
Basic familiarity with Python and async programming

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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

composio connects your agent to external SaaS tools like Kommo
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your agent to Composio's API
USER_ID associates your session with your account for secure tool access
OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

What's happening:

We load environment variables and import required modules
Composio manages connections to Kommo
MCPServerStreamableHTTP connects to the Kommo MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Kommo
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["kommo"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

What's happening:

We're creating a Tool Router session that gives your agent access to Kommo tools
The create method takes the user ID and specifies which toolkits should be available
The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python

# Attach the MCP server to a Pydantic AI Agent
kommo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[kommo_mcp],
    instructions=(
        "You are a Kommo assistant. Use Kommo tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)

What's happening:

The MCP client connects to the Kommo endpoint
The agent uses GPT-5 to interpret user commands and perform Kommo operations
The instructions field defines the agent's role and behavior

Build the chat interface

python

# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Kommo.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()

What's happening:

The agent reads input from the terminal and streams its response
Kommo API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

Run the application

python

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

What's happening:

The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Kommo and Pydantic AI:

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Kommo
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["kommo"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    kommo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[kommo_mcp],
        instructions=(
            "You are a Kommo assistant. Use Kommo tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Kommo.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Kommo through Composio's Tool Router. With this setup, your agent can perform real Kommo actions through natural language. You can extend this further by:

Adding other toolkits like Gmail, HubSpot, or Salesforce
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Kommo for workflow automation)

This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

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Claude Agent SDK

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Claude Code

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Codex

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Hermes

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CLI

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Google ADK

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Vercel AI SDK

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LlamaIndex

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CrewAI

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TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Kommo MCP?

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.

Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI 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.

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

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.

How safe is my data with Composio Tool Router?

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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Harsha GaddipatiCo-founder, Slashy

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

Abhi AryaCo-founder, Opennote

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 has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

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

Ryan YuFounder, Extra Thursday

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

Tomisin JenrolaFounder & CEO, SwarmZero

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

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

How to integrate Kommo MCP with Pydantic AI

Table of Contents

Connect Kommo without Auth hassles

Introduction

Also integrate Kommo with

TL;DR

What is Pydantic AI?

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

Supported Tools & Triggers

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

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

Complete Code

Conclusion

How to build Kommo 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

Hubspot

Pipedrive

Salesforce

FAQ

What are the differences in Tool Router MCP and Kommo MCP?

Can I use Tool Router MCP with Pydantic AI?

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

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability