How to integrate Insighto ai MCP with CrewAI

This guide walks you through connecting Insighto ai to CrewAI 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 CrewAI 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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Introduction

This guide will help you understand how to give your CrewAI 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

TL;DR

Here's what you'll learn:

Get a Composio API key and configure your Insighto ai connection
Set up CrewAI with an MCP enabled agent
Create a Tool Router session or standalone MCP server for Insighto ai
Build a conversational loop where your agent can execute Insighto ai operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

Agent Roles: Define specialized agents with specific goals and backstories
Task Management: Create tasks with clear descriptions and expected outputs
Crew Orchestration: Combine agents and tasks into collaborative workflows
MCP Integration: Connect to external tools through Model Context Protocol

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

Before starting, make sure you have:

Python 3.9 or higher
A Composio account and API key
A Insighto ai connection authorized in Composio
An OpenAI API key for the CrewAI LLM
Basic familiarity with Python

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 crewai crewai-tools[mcp] python-dotenv

What's happening:

composio connects your agent to Insighto ai via MCP
crewai provides Agent, Task, Crew, and LLM primitives
crewai-tools[mcp] includes MCP helpers
python-dotenv loads environment variables from .env

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_here

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates with Composio
USER_ID scopes the session to your account
OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python

import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")

What's happening:

CrewAI classes define agents and tasks, and run the workflow
MCPServerHTTP connects the agent to an MCP endpoint
Composio will give you a short lived Insighto ai MCP URL

Create a Composio Tool Router session for Insighto ai

python

composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["insighto_ai"])

url = session.mcp.url

What's happening:

You create a Insighto ai only session through Composio
Composio returns an MCP HTTP URL that exposes Insighto ai tools

Initialize the MCP Server

python

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )

What's Happening:

Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.

Create a CLI Chatloop and define the Crew

python

print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")

What's Happening:

Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with Insighto ai and CrewAI:

python

from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["insighto_ai"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Insighto ai through Composio's Tool Router. The agent can perform Insighto ai operations through natural language commands.

Next steps:

Add role-specific instructions to customize agent behavior
Plug in more toolkits for multi-app workflows
Chain tasks for complex multi-step operations

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

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LlamaIndex

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MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

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Autobound

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Better proposals

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Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.

Bidsketch

Api Key

Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.

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. CrewAI 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.

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 Insighto ai MCP with CrewAI

Connect Insighto ai without auth hassles

Introduction

Also integrate Insighto ai with

TL;DR

What is CrewAI?

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

Create a Composio Tool Router session for Insighto ai

Initialize the MCP Server

Create a CLI Chatloop and define the Crew

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

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 CrewAI?+

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