How to integrate Botstar MCP with Autogen

This guide walks you through connecting Botstar to AutoGen 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 AutoGen 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

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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.

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Introduction

This guide will help you understand how to give your AutoGen 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 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 Botstar
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Botstar tools
Run a live chat loop where you ask the agent to perform Botstar 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 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:

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 Botstar 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 Botstar 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 Botstar 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 Botstar session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["botstar"]
    )
    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 Botstar 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 Botstar assistant agent with MCP tools
    agent = AssistantAgent(
        name="botstar_assistant",
        description="An AI assistant that helps with Botstar 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 Botstar 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 Botstar 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 Botstar 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 Botstar 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 Botstar session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["botstar"]
    )
    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 Botstar assistant agent with MCP tools
        agent = AssistantAgent(
            name="botstar_assistant",
            description="An AI assistant that helps with Botstar 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 Botstar 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 Botstar 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 Botstar, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

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

Use Botstar MCP with OpenAI Agents SDK

Claude Agent SDK

Use Botstar MCP with Claude Agent SDK

Claude Code

Use Botstar MCP with Claude Code

Claude Cowork

Use Botstar MCP with Claude Cowork

Codex

Use Botstar MCP with Codex

OpenClaw

Use Botstar MCP with OpenClaw

Hermes

Use Botstar MCP with Hermes

CLI

Use Botstar MCP with CLI

Google ADK

Use Botstar MCP with Google ADK

LangChain

Use Botstar MCP with LangChain

Vercel AI SDK

Use Botstar MCP with Vercel AI SDK

Mastra AI

Use Botstar MCP with Mastra AI

LlamaIndex

Use Botstar MCP with LlamaIndex

CrewAI

Use Botstar MCP with CrewAI

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Bidsketch

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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 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. 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 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.

Start with Botstar.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Botstar 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 Botstar MCP with Autogen

Connect Botstar without auth hassles

Introduction

Also integrate Botstar with

TL;DR

What is AutoGen?

What is the Botstar 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 Botstar 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 Botstar MCP?+

Can I use Tool Router MCP with Autogen?+

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

How safe is my data with Composio Tool Router?+

Start with Botstar.It takes 30 seconds.

Teams ship real agents on Composio