# How to integrate Insighto ai MCP with CrewAI

```json
{
  "title": "How to integrate Insighto ai MCP with CrewAI",
  "toolkit": "Insighto ai",
  "toolkit_slug": "insighto_ai",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/insighto_ai/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/insighto_ai/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:15:55.491Z"
}
```

## Introduction

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.

## Also integrate Insighto ai with

- [OpenAI Agents SDK](https://composio.dev/toolkits/insighto_ai/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/insighto_ai/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/insighto_ai/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/insighto_ai/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/insighto_ai/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/insighto_ai/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/insighto_ai/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/insighto_ai/framework/cli)
- [Google ADK](https://composio.dev/toolkits/insighto_ai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/insighto_ai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/insighto_ai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/insighto_ai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/insighto_ai/framework/llama-index)

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `INSIGHTO_AI_ADD_INTENT_TO_ASSISTANT` | Add Intent To Assistant | Tool to add an intent to an assistant in Insighto.ai. Use when linking existing intents to an assistant for enhanced conversation handling. |
| `INSIGHTO_AI_CREATE_AGENCY` | Create Agency | Tool to create a new agency in Insighto.ai. Use when setting up a new agency with organization-specific configuration and branding. |
| `INSIGHTO_AI_CREATE_CONTACT_CUSTOM_FIELD` | Create Contact Custom Field | Tool to create a new contact custom field in Insighto.ai. Use when you need to add custom metadata fields for contacts. |
| `INSIGHTO_AI_CREATE_FORM` | Create Form | Tool to create a new form in Insighto.ai. Use when you need to create either a natural (conversational AI-driven) or simple (traditional) form for collecting information from users. |
| `INSIGHTO_AI_CREATE_INTENT` | Create Intent | Tool to create a new intent in Insighto.ai. Use when adding custom intents before training or deployment. Call after confirming intent attributes. |
| `INSIGHTO_AI_CREATE_PROMPT` | Create Prompt | Tool to create a new prompt in Insighto.ai. Use when adding custom prompts for AI interactions. The prompt template can include variables in {{variable_name}} format. |
| `INSIGHTO_AI_CREATE_PROVIDER` | Create Provider | Creates a new AI provider configuration (e.g., OpenAI, ElevenLabs, Azure Speech, Cartesia, PlayHT) for use in voice and text-to-speech workflows. The provider stores credentials and settings in the attributes field. |
| `INSIGHTO_AI_CREATE_TAG` | Create Tag | Tool to create a new tag in Insighto.ai. Use when categorizing contacts, conversations, or other entities with custom labels. |
| `INSIGHTO_AI_CREATE_TOOLFUNCTION` | Create Toolfunction | Tool to create a new toolfunction in Insighto.ai. Use when you need to register a new tool function (SDK, CURL, or query index type) before using it in workflows or assistant operations. |
| `INSIGHTO_AI_CREATE_WEBHOOK` | Create Webhook | Tool to create a new outbound webhook in Insighto.ai. Use when you need to configure webhook endpoints for event notifications. |
| `INSIGHTO_AI_CREATE_WIDGET` | Create Widget | Tool to create a new widget with specified attributes. Use after confirming assistant_id and widget_type. |
| `INSIGHTO_AI_DELETE_ASSISTANT_BY_ID` | Delete Assistant By ID | Tool to delete an assistant by its ID. Use when you need to permanently remove an assistant from the system. |
| `INSIGHTO_AI_DELETE_BULK_FORMS_BY_IDS` | Delete Bulk Forms By IDs | Tool to delete multiple forms by their IDs in a single operation. Use when you need to remove multiple forms at once. |
| `INSIGHTO_AI_DELETE_CONTACTS_IN_BULK` | Delete Contacts In Bulk | Tool to delete multiple contacts in bulk. Use when you need to remove several contacts at once by providing their UUIDs. |
| `INSIGHTO_AI_DELETE_FORM_BY_ID` | Delete Form By ID | Tool to delete a form by its unique identifier. Use when you need to permanently remove a form from the system. |
| `INSIGHTO_AI_DELETE_LINKED_ASSISTANT_DATASOURCE` | Delete Linked Assistant Datasource | Tool to delete (unlink) a datasource from a linked assistant in Insighto.ai. Use when you need to remove a specific datasource from an assistant's knowledge base. Requires valid datasource_id and assistant_id. |
| `INSIGHTO_AI_DELETE_LINK_TAG_ENTITY_BY_ID` | Delete Link Tag Entity By ID | Tool to delete a link_tag_entity by its ID. Use when you need to remove a specific link_tag_entity from the system. |
| `INSIGHTO_AI_DELETE_PROMPT_BY_ID` | Delete Prompt By ID | Tool to delete a prompt by its unique ID. Use when you need to remove a prompt from the system. |
| `INSIGHTO_AI_DELETE_PROVIDER_BY_ID` | Delete Provider By ID | Tool to delete an AI provider configuration by its unique identifier. Use when you need to permanently remove a provider from the system. |
| `INSIGHTO_AI_DELETE_TAG_BY_ID` | Delete Tag By ID | Tool to delete a tag by its unique identifier. Use when you need to permanently remove a tag from the system. |
| `INSIGHTO_AI_DELETE_TOOL_BY_ID` | Delete Tool By ID | Tool to delete a tool by its ID. Use when you need to remove a tool from the system. |
| `INSIGHTO_AI_DELETE_TOOLFUNCTION_BY_ID` | Delete Toolfunction By ID | Tool to delete a toolfunction by its ID. Use when you need to remove a toolfunction from the system. |
| `INSIGHTO_AI_DELETE_TWILIO_AUTH_BY_ID` | Delete Twilio Auth By ID | Tool to delete a Twilio authentication configuration by its ID. Use when you need to remove a Twilio auth integration from the system. |
| `INSIGHTO_AI_DELETE_USERWHATSAPP_BY_ID` | Delete UserWhatsApp By ID | Tool to delete a UserWhatsApp by its ID. Use when you need to remove a specific UserWhatsApp connection. |
| `INSIGHTO_AI_DELETE_WIDGET_BY_ID` | Delete Widget By ID | Tool to delete a widget by its unique ID. Use when you need to permanently remove a widget from the system. |
| `INSIGHTO_AI_GET_AGENCY_BILLING_PLAN` | Get Agency Billing Plan | Tool to retrieve details of a specific agency billing plan by ID. Use when you need to view billing plan information including limits for bots, queries, words, voice seconds, and support options. |
| `INSIGHTO_AI_GET_AGENCY_BRANDING_BY_ID` | Get Agency Branding By ID | Tool to retrieve branding configuration for a specific agency by agency ID. Use when you have a valid agency ID and need its branding settings. |
| `INSIGHTO_AI_GET_AGENT_LIST` | Get Agent List | Tool to fetch a paginated list of agents. Use when you need to retrieve user/agent information with pagination support. |
| `INSIGHTO_AI_GET_ASSISTANT_BY_ID` | Get Assistant By ID | Tool to retrieve details of a specific assistant by assistant ID. Use when you have a valid assistant ID and need the full assistant profile. |
| `INSIGHTO_AI_GET_CAPTURED_FORM_BY_FORM_ID` | Get Captured Form By Form ID | Tool to retrieve captured form submissions by form ID. Use when you have a valid form ID and need to fetch all submissions for that specific form with pagination support. |
| `INSIGHTO_AI_GET_CONTACT_BY_ID` | Get Contact By ID | Tool to retrieve details of a specific contact by contact ID. Use when you have a valid contact ID and need the full contact profile. |
| `INSIGHTO_AI_GET_DATASOURCE_BY_ID` | Get Datasource By ID | Tool to retrieve details of a specific datasource by datasource ID. Use when you have a valid datasource ID and need the full datasource details. |
| `INSIGHTO_AI_GET_INTENT_BY_ID` | Get Intent By ID | Tool to retrieve details of a specific intent by its ID. Use when you have a valid intent ID and need the full intent details. |
| `INSIGHTO_AI_GET_LIST_OF_CONTACTS` | Get List Of Contacts | Tool to fetch a paginated list of contacts. Use after confirming a valid API key to iterate through pages of contacts. |
| `INSIGHTO_AI_GET_LIST_OF_CONVERSATIONS` | Get List Of Conversations | Tool to fetch a list of conversations. Use after specifying date range and filters to retrieve conversation metadata. |
| `INSIGHTO_AI_GET_LIST_OF_DATASOURCES` | Get List Of Datasources | Retrieves a paginated list of data sources from Insighto AI. Data sources contain the knowledge base content (text, files, URLs) used by AI assistants. Use this to discover available data sources, get their IDs for further operations, or check if specific data sources exist. Requires admin or manager role. |
| `INSIGHTO_AI_GET_LIST_OF_DATA_SOURCES_LINKED_TO_ASSISTANT_ID` | Get List Of Data Sources Linked To Assistant Id | Tool to retrieve a paginated list of data sources linked to a specific assistant. Use when you need to discover which data sources are associated with an assistant ID. Requires admin or manager role. |
| `INSIGHTO_AI_GET_LIST_OF_WIDGETS_LINKED_TO_ASSISTANT_ID` | Get List Of Widgets Linked To Assistant Id | Tool to fetch a paginated list of widgets linked to a specific assistant. Use when you need to discover which widgets are associated with an assistant ID. |
| `INSIGHTO_AI_GET_PRICING_FOR_USER` | Get Pricing For User | Tool to retrieve pricing information for Insighto.ai services. Use when you need to calculate costs for LLM, voice, or transcription services. |
| `INSIGHTO_AI_GET_PROMPT_BY_ID` | Get Prompt By ID | Tool to retrieve details of a specific prompt by prompt ID. Use when you have a valid prompt ID and need the full prompt details. |
| `INSIGHTO_AI_GET_PROVIDER_BY_ID` | Get Provider By ID | Tool to retrieve details of a specific provider by provider ID. Use when you have a valid provider ID and need the full provider configuration. |
| `INSIGHTO_AI_GET_SPEECHTOTEXT_LIST` | Get Speechtotext List | Tool to fetch a paginated list of available speech-to-text voice configurations. Use when you need to retrieve available languages and providers for voice-to-text conversion. |
| `INSIGHTO_AI_GET_WIDGET_BY_ID` | Get Widget By ID | Tool to retrieve details of a specific widget by widget ID. Use when you have a valid widget ID and need the widget configuration. |
| `INSIGHTO_AI_LIST_CHANNELS` | List Channels | Tool to retrieve a paginated list of channels. Use after authenticating to fetch all available channels and their configurations. |
| `INSIGHTO_AI_READ_CAMPAIGN_CONTACT_LIST` | Read Campaign Contact List | Tool to retrieve a paginated list of contacts associated with a specific campaign. Use when you need to fetch all contacts enrolled in a campaign. |
| `INSIGHTO_AI_READ_CONTACT_CUSTOM_FIELD_LIST` | Read Contact Custom Field List | Tool to retrieve a list of custom fields associated with contacts. Use when you need to inspect or sync contact metadata definitions. |
| `INSIGHTO_AI_READ_CONTACT_SYNC_LOG_LIST` | Read Contact Sync Log List | Tool to retrieve a paginated list of contact sync logs. Use when you need to inspect sync history, troubleshoot sync issues, or audit contact synchronization operations. |
| `INSIGHTO_AI_READ_INTENTS_LIST` | Read Intents List | Tool to retrieve a list of all intents. Use after authenticating; supports pagination. |
| `INSIGHTO_AI_READ_TAG_LIST` | Read Tag List | Tool to retrieve a paginated list of tags. Use after authenticating to fetch and browse through all available tags. |
| `INSIGHTO_AI_READ_TOOL_FUNCTION_INVOKE_LOG_LIST` | Read Tool Function Invoke Log List | Tool to retrieve a paginated list of tool function invoke logs. Use when you need to inspect function invocation history, troubleshoot tool execution issues, or audit tool function calls. |
| `INSIGHTO_AI_READ_TOOL_TOOLFUNCTION_LIST` | Read Tool Toolfunction List | Tool to retrieve a paginated list of tool functions for a specific tool. Use after authenticating to fetch and browse through all tool functions associated with a given tool ID. |
| `INSIGHTO_AI_READ_TWILIO_AUTH_LIST` | Read Twilio Auth List | Tool to retrieve a paginated list of Twilio authentications. Use after authenticating to fetch and browse through all configured Twilio auth integrations. |
| `INSIGHTO_AI_RETRIEVE_LINKED_TOOL_AND_USER` | Retrieve Linked Tool And User | Tool to retrieve linked tool and user information for a specific tool. Use when you need to fetch users linked to a tool by tool ID. |
| `INSIGHTO_AI_RETRIEVE_LIST_OF_USER_CUSTOM_VOICE` | Retrieve List Of User Custom Voice | Tool to retrieve a paginated list of user custom voices. Use after authenticating to fetch available custom voices. |
| `INSIGHTO_AI_RETRIEVE_USER_MONTHLY_USAGES_AGGREGATION` | Retrieve User Monthly Usages Aggregation | Tool to retrieve user monthly usages aggregation data. Use when you need to fetch analytics about user usage patterns aggregated by month. |
| `INSIGHTO_AI_RETRIEVE_WEBHOOK_LOG` | Retrieve Webhook Log | Tool to retrieve webhook logs for a specific webhook. Use to monitor webhook delivery status and debug webhook issues. |
| `INSIGHTO_AI_SEND_MESSAGES_TO_CONTACTS` | Send Messages To Contacts | Tool to send messages to a list of contacts in bulk. Use when your widget is connected to WhatsApp or SMS and you have the contact IDs ready. |
| `INSIGHTO_AI_UPDATE_LINK_TOOL_USER` | Update Link Tool User | Tool to update a link tool user by its ID. Use when you need to modify properties of an existing tool integration. |
| `INSIGHTO_AI_UPDATE_TOOL_BY_ID` | Update Tool By ID | Tool to update a tool by its ID. Use when you need to modify properties of an existing tool such as name, description, or enabled status. |
| `INSIGHTO_AI_UPDATE_TOOLFUNCTION_BY_ID` | Update Toolfunction By ID | Tool to update an existing toolfunction by its ID. Use when you need to modify properties of a toolfunction such as name, description, type, or enabled status. |
| `INSIGHTO_AI_UPDATE_TWILIO_AUTH_BY_ID` | Update Twilio Auth By ID | Tool to update a Twilio authentication configuration by its ID. Use when you need to modify Twilio auth credentials or settings. |
| `INSIGHTO_AI_UPDATE_USER_PROFILE` | Update User Profile | Tool to update a user profile in Insighto.ai. Use when modifying user account details, contact information, or billing settings. |
| `INSIGHTO_AI_UPDATE_USERWHATSAPP_BY_ID` | Update UserWhatsApp By ID | Tool to update a UserWhatsApp configuration by its ID. Use when you need to modify WhatsApp Business API settings for a user. |
| `INSIGHTO_AI_UPDATE_WEBHOOK_BY_ID` | Update Webhook By ID | Tool to update an outbound webhook by its unique ID. Use when you need to modify webhook configuration such as name, endpoint URL, or enabled status. |
| `INSIGHTO_AI_UPSERT_CONTACT_BY_EMAIL_OR_PHONE_NUMBER` | Upsert Contact By Email Or Phone Number | Tool to upsert (create or update) a contact in Insighto.ai using email or phone number. Use when you need to create a new contact or update an existing one by email or phone number. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Insighto ai MCP server is an implementation of the Model Context Protocol that connects your AI agent to Insighto ai. It provides structured and secure access so your agent can perform Insighto ai operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

**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
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**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
```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")
```

### 5. Create a Composio Tool Router session for Insighto ai

**What's happening:**
- You create a Insighto ai only session through Composio
- Composio returns an MCP HTTP URL that exposes Insighto ai tools
```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
```

### 6. Initialize the MCP Server

**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.
```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,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**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.
```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")
```

## Complete Code

```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

## How to build Insighto ai MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/insighto_ai/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/insighto_ai/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/insighto_ai/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/insighto_ai/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/insighto_ai/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/insighto_ai/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/insighto_ai/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/insighto_ai/framework/cli)
- [Google ADK](https://composio.dev/toolkits/insighto_ai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/insighto_ai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/insighto_ai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/insighto_ai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/insighto_ai/framework/llama-index)

## Related Toolkits

- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.
- [Better proposals](https://composio.dev/toolkits/better_proposals) - 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](https://composio.dev/toolkits/bidsketch) - 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.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
- [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code.
- [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding.
- [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls.
- [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources.
- [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.
- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality.
- [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster.
- [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment.
- [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support.
- [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach.
- [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback.

## Frequently Asked Questions

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

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.

### Can I use Tool Router MCP with CrewAI?

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.

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

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.

### 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 Insighto ai data and credentials are handled as safely as possible.

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[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)