How to integrate Insighto ai MCP with Autogen

This guide walks you through connecting Insighto ai to AutoGen using the Composio tool router. By the end, you'll have a working Insighto ai agent that can send whatsapp message to all new leads, fetch conversation history for a specific contact, list all available chatbot intents today through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Insighto ai account through Composio's Insighto ai MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Insighto ai

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Insighto.ai is an AI-powered platform for building conversational chatbots and voice agents. Engage customers across web, messaging apps, and voice with smart, automated conversations.

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Introduction

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

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

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

The Insighto ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Insighto ai account. It provides structured and secure access to your conversational AI assets, so your agent can create new intents, manage contacts, analyze conversations, deploy widgets, and broadcast messages across channels on your behalf.

Intent creation and management: Easily add or review conversational intents to enhance your chatbots and voice agents, making them smarter and more responsive.
Bulk contact communication: Let your agent send messages to multiple contacts in bulk through WhatsApp or SMS, enabling efficient campaign blasts and customer updates.
Comprehensive contact and conversation insights: Retrieve full contact profiles, browse lists of contacts, and access detailed conversation metadata for analytics or personalized support.
Widget and provider deployment: Quickly create and configure new widgets and providers to extend your AI’s reach across new channels and platforms.
Datasource and metadata management: Fetch and inspect all data sources and custom contact fields, so your agent can sync, organize, or enrich customer data as 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 Insighto ai 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 Insighto ai 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 Insighto ai 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 Insighto ai session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["insighto_ai"]
    )
    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 Insighto ai 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 Insighto ai assistant agent with MCP tools
    agent = AssistantAgent(
        name="insighto_ai_assistant",
        description="An AI assistant that helps with Insighto ai 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 Insighto ai 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 Insighto ai 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 Insighto ai 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 Insighto ai 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 Insighto ai session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["insighto_ai"]
    )
    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 Insighto ai assistant agent with MCP tools
        agent = AssistantAgent(
            name="insighto_ai_assistant",
            description="An AI assistant that helps with Insighto ai 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 Insighto ai 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 Insighto ai 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 Insighto ai, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

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

Add Intent To Assistant

Tool to add an intent to an assistant in Insighto.

Create Agency

Tool to create a new agency in Insighto.

Create Contact Custom Field

Tool to create a new contact custom field in Insighto.

Create Form

Tool to create a new form in Insighto.

Create Intent

Tool to create a new intent in Insighto.

Create Prompt

Tool to create a new prompt in Insighto.

Create Provider

Creates a new AI provider configuration (e.

Create Tag

Tool to create a new tag in Insighto.

Create Toolfunction

Tool to create a new toolfunction in Insighto.

Create Webhook

Tool to create a new outbound webhook in Insighto.

Create Widget

Tool to create a new widget with specified attributes.

Delete Assistant By ID

Tool to delete an assistant by its ID.

Delete Bulk Forms By IDs

Tool to delete multiple forms by their IDs in a single operation.

Delete Contacts In Bulk

Tool to delete multiple contacts in bulk.

Delete Form By ID

Tool to delete a form by its unique identifier.

Delete Linked Assistant Datasource

Tool to delete (unlink) a datasource from a linked assistant in Insighto.

Delete Link Tag Entity By ID

Tool to delete a link_tag_entity by its ID.

Delete Prompt By ID

Tool to delete a prompt by its unique ID.

Delete Provider By ID

Tool to delete an AI provider configuration by its unique identifier.

Delete Tag By ID

Tool to delete a tag by its unique identifier.

Delete Tool By ID

Tool to delete a tool by its ID.

Delete Toolfunction By ID

Tool to delete a toolfunction by its ID.

Delete Twilio Auth By ID

Tool to delete a Twilio authentication configuration by its ID.

Delete UserWhatsApp By ID

Tool to delete a UserWhatsApp by its ID.

Delete Widget By ID

Tool to delete a widget by its unique ID.

Get Agency Billing Plan

Tool to retrieve details of a specific agency billing plan by ID.

Get Agency Branding By ID

Tool to retrieve branding configuration for a specific agency by agency ID.

Get Agent List

Tool to fetch a paginated list of agents.

Get Assistant By ID

Tool to retrieve details of a specific assistant by assistant ID.

Get Captured Form By Form ID

Tool to retrieve captured form submissions by form ID.

Get Contact By ID

Tool to retrieve details of a specific contact by contact ID.

Get Datasource By ID

Tool to retrieve details of a specific datasource by datasource ID.

Get Intent By ID

Tool to retrieve details of a specific intent by its ID.

Get List Of Contacts

Tool to fetch a paginated list of contacts.

Get List Of Conversations

Tool to fetch a list of conversations.

Get List Of Datasources

Retrieves a paginated list of data sources from Insighto AI.

Get List Of Data Sources Linked To Assistant Id

Tool to retrieve a paginated list of data sources linked to a specific assistant.

Get List Of Widgets Linked To Assistant Id

Tool to fetch a paginated list of widgets linked to a specific assistant.

Get Pricing For User

Tool to retrieve pricing information for Insighto.

Get Prompt By ID

Tool to retrieve details of a specific prompt by prompt ID.

Get Provider By ID

Tool to retrieve details of a specific provider by provider ID.

Get Speechtotext List

Tool to fetch a paginated list of available speech-to-text voice configurations.

Get Widget By ID

Tool to retrieve details of a specific widget by widget ID.

List Channels

Tool to retrieve a paginated list of channels.

Read Campaign Contact List

Tool to retrieve a paginated list of contacts associated with a specific campaign.

Read Contact Custom Field List

Tool to retrieve a list of custom fields associated with contacts.

Read Contact Sync Log List

Tool to retrieve a paginated list of contact sync logs.

Read Intents List

Tool to retrieve a list of all intents.

Read Tag List

Tool to retrieve a paginated list of tags.

Read Tool Function Invoke Log List

Tool to retrieve a paginated list of tool function invoke logs.

Read Tool Toolfunction List

Tool to retrieve a paginated list of tool functions for a specific tool.

Read Twilio Auth List

Tool to retrieve a paginated list of Twilio authentications.

Retrieve Linked Tool And User

Tool to retrieve linked tool and user information for a specific tool.

Retrieve List Of User Custom Voice

Tool to retrieve a paginated list of user custom voices.

Retrieve User Monthly Usages Aggregation

Tool to retrieve user monthly usages aggregation data.

Retrieve Webhook Log

Tool to retrieve webhook logs for a specific webhook.

Send Messages To Contacts

Tool to send messages to a list of contacts in bulk.

Update Link Tool User

Tool to update a link tool user by its ID.

Update Tool By ID

Tool to update a tool by its ID.

Update Toolfunction By ID

Tool to update an existing toolfunction by its ID.

Update Twilio Auth By ID

Tool to update a Twilio authentication configuration by its ID.

Update User Profile

Tool to update a user profile in Insighto.

Update UserWhatsApp By ID

Tool to update a UserWhatsApp configuration by its ID.

Update Webhook By ID

Tool to update an outbound webhook by its unique ID.

Upsert Contact By Email Or Phone Number

Tool to upsert (create or update) a contact in Insighto.

FRAMEWORKS

How to build Insighto ai MCP Agent with another framework

OpenAI Agents SDK

Use Insighto ai MCP with OpenAI Agents SDK

Claude Agent SDK

Use Insighto ai MCP with Claude Agent SDK

Claude Code

Use Insighto ai MCP with Claude Code

Claude Cowork

Use Insighto ai MCP with Claude Cowork

Codex

Use Insighto ai MCP with Codex

OpenClaw

Use Insighto ai MCP with OpenClaw

Hermes

Use Insighto ai MCP with Hermes

CLI

Use Insighto ai MCP with CLI

Google ADK

Use Insighto ai MCP with Google ADK

LangChain

Use Insighto ai MCP with LangChain

Vercel AI SDK

Use Insighto ai MCP with Vercel AI SDK

Mastra AI

Use Insighto ai MCP with Mastra AI

LlamaIndex

Use Insighto ai MCP with LlamaIndex

CrewAI

Use Insighto ai MCP with CrewAI

MORE TOOLKITS

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Bidsketch

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FAQ

Frequently asked questions

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

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

Start with Insighto ai.It takes 30 seconds.

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

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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 Insighto ai MCP with Autogen

Connect Insighto ai without auth hassles

Introduction

Also integrate Insighto ai with

TL;DR

What is AutoGen?

What is the Insighto ai 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 Insighto ai 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

Aeroleads

Autobound

Better proposals

Bidsketch

Frequently asked questions

What are the differences in Tool Router MCP and Insighto ai MCP?+

Can I use Tool Router MCP with Autogen?+

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

How safe is my data with Composio Tool Router?+

Start with Insighto ai.It takes 30 seconds.

Teams ship real agents on Composio