How to integrate Botstar MCP with CrewAI

This guide walks you through connecting Botstar to CrewAI using the Composio tool router. By the end, you'll have a working Botstar agent that can open live chat widget for new visitor, update user profile in current chat session, retrieve chatbot application id for setup through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Botstar account through Composio's Botstar MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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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.

31 Tools

Introduction

This guide walks you through connecting Botstar to CrewAI using the Composio tool router. By the end, you'll have a working Botstar agent that can open live chat widget for new visitor, update user profile in current chat session, retrieve chatbot application id for setup through natural language commands.

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

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

Also integrate Botstar with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Botstar connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Botstar
  • Build a conversational loop where your agent can execute Botstar 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 Botstar MCP server, and what's possible with it?

The Botstar MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Botstar account. It provides structured and secure access to your chatbot operations, so your agent can perform actions like managing live chat sessions, updating user details, retrieving app parameters, and sending data between webviews and your bot—all on your behalf.

  • Live chat session control: Programmatically open, close, or reinitialize the Botstar live chat widget to manage user interactions in real time.
  • Automated user profile updates: Let your agent update user details and profile attributes during an active chatbot conversation for a more personalized experience.
  • Webview data exchange: Seamlessly send responses from webviews back to the chatbot or retrieve parameters passed from the bot to your webview for dynamic content handling.
  • Custom callback registration: Set up onOpen and onClose event handlers so your agent can trigger actions whenever users interact with the chat window.
  • Application ID and configuration retrieval: Fetch essential Botstar application IDs and parameters for smooth widget initialization and advanced bot customization.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Botstar connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • 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.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Botstar via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

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
5

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 Botstar MCP URL
6

Create a Composio Tool Router session for Botstar

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

url = session.mcp.url
What's happening:
  • You create a Botstar only session through Composio
  • Composio returns an MCP HTTP URL that exposes Botstar tools
7

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.
8

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 Botstar 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=["botstar"],
)
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 Botstar through Composio's Tool Router. The agent can perform Botstar 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 Botstar action and event your agent gets out of the box.

Create Bot

Tool to create a new bot in BotStar.

Create Bot Attribute

Tool to create a new bot attribute in BotStar.

Create CMS Entity

Tool to create a CMS entity in BotStar with a name and optional fields.

Create Entity Fields

Tool to create entity field(s) in BotStar CMS.

Create Entity Item

Tool to create a new entity item in BotStar CMS.

Create User Attributes

Tool to create custom user attributes in BotStar.

Delete Bot Attribute

Tool to delete a bot attribute by ID.

Delete CMS Entity

Tool to delete a CMS entity by ID.

Delete Entity Fields

Tool to delete entity field(s) from a CMS entity.

Delete Entity Item

Tool to delete an entity item from a CMS entity.

Get Bot

Tool to get your bot by bot ID.

Get BotStar Application IDs

Tool to retrieve the BotStar application ID (`appId`).

Get CMS Entity

Tool to get a specific CMS entity by ID.

Get Entity Item

Tool to retrieve a specific item from a CMS entity with all field values.

List Bot Attributes

Tool to get all bot attributes from BotStar.

List Bots

Tool to get your list of bots.

List CMS Entities

Tool to retrieve all CMS entities for a bot.

List Entity Items

Tool to retrieve all entity items with pagination support.

Livechat boot

Tool to reinitialize the live chat widget with provided data.

Close BotStar Livechat Widget

Tool to hide the live chat window.

BotStar LiveChat onClose Callback

Tool to register a callback when the chat window is closed.

Livechat on open

Tool to register a callback when the chat window is opened.

Livechat open

Tool to show the live chat window.

Livechat update

Tool to update user details on the current live chat session.

Publish Bot to Live

Tool to publish a bot to live.

Update Bot Attribute

Tool to update a bot attribute in BotStar.

Update CMS Entity

Tool to update a CMS entity in BotStar.

Update Entity Fields

Tool to update entity field(s) in BotStar CMS.

Update Entity Item

Tool to update a CMS entity item in BotStar.

Get BotStar Webview Parameter

Tool to retrieve a parameter value passed from the BotStar chatbot to the webview.

Webview send response

Tool to send data from the webview back to the BotStar chatbot.

FRAMEWORKS

How to build Botstar MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Botstar MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Botstar MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Botstar MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Botstar MCP with Claude Cowork

Codex logo

Codex

Use Botstar MCP with Codex

OpenClaw logo

OpenClaw

Use Botstar MCP with OpenClaw

Hermes logo

Hermes

Use Botstar MCP with Hermes

CLI logo

CLI

Use Botstar MCP with CLI

Google ADK logo

Google ADK

Use Botstar MCP with Google ADK

LangChain logo

LangChain

Use Botstar MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Botstar MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Botstar MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Botstar MCP with LlamaIndex

FAQ

Frequently asked questions

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

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

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