How to integrate Billsby MCP with Autogen

This guide walks you through connecting Billsby to AutoGen using the Composio tool router. By the end, you'll have a working Billsby agent that can list active subscriptions expiring this month, find overdue invoices by customer, update allowance for enterprise plan through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Billsby account through Composio's Billsby MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Billsby is a subscription billing platform for managing customers, subscriptions, invoices, products, plans, usage counters, add-ons, and allowances. It helps SaaS and subscription teams automate billing operations without building complex billing logic from scratch.

10 Tools

Introduction

This guide walks you through connecting Billsby to AutoGen using the Composio tool router. By the end, you'll have a working Billsby agent that can list active subscriptions expiring this month, find overdue invoices by customer, update allowance for enterprise plan through natural language commands.

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

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

Also integrate Billsby with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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

The Billsby MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Billsby account. It provides structured and secure access to your customers, subscriptions, products, plans, and billing details, so your agent can create and update customers, review subscriptions, browse products and plans, check shipping addresses, and monitor billing information on your behalf.

  • Customer creation and updates: Have your agent create customers without subscriptions or payment cards, then update their contact and billing address details when needed.
  • Customer account lookup: Let the agent retrieve a customer’s billing, contact, payment status, and account details, or find customers by a partial name.
  • Subscription review: Direct your agent to list subscriptions and review their billing schedules, status, customer, product, plan, pricing, trial, and revenue details.
  • Product and plan discovery: Instruct your agent to browse products by name or visibility and review the plans and billing cycles available for each product.
  • Subscription shipping details: Have your agent retrieve the shipping address associated with a subscription when you need to confirm delivery information.

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

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Billsby account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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 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 Billsby via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

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 Billsby connections to use
5

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 Billsby session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["billsby"]
    )
    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 Billsby tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

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
7

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 Billsby assistant agent with MCP tools
    agent = AssistantAgent(
        name="billsby_assistant",
        description="An AI assistant that helps with Billsby 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 Billsby tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Billsby 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 Billsby 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 Billsby 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 Billsby session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["billsby"]
    )
    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 Billsby assistant agent with MCP tools
        agent = AssistantAgent(
            name="billsby_assistant",
            description="An AI assistant that helps with Billsby 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 Billsby 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 Billsby 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 Billsby, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Create Customer

Create a Billsby customer without a subscription or payment card.

Get Customer

Get billing, contact, payment-status, and account details for one Billsby customer.

Get Subscription

Get billing schedule, customer, product, plan, pricing, status, and revenue details for one Billsby subscription.

Get Subscription Shipping Address

Get the shipping address associated with one Billsby subscription.

List Customers

Return one page of customers for the connected Billsby company, optionally filtered by a partial customer name.

List Customer Subscriptions

List all subscriptions belonging to one Billsby customer.

List Product Plans

List the plans and billing cycles configured for one Billsby product.

List Products

Return one page of Billsby products, optionally filtered by name or visibility.

List Subscriptions

Return one page of company subscriptions with optional status, trial, product, plan, and ordering filters.

Update Customer

Replace the editable contact and billing-address details for an existing Billsby customer.

FRAMEWORKS

How to build Billsby MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Billsby MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Billsby MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Billsby MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Billsby MCP with Claude Cowork

Codex logo

Codex

Use Billsby MCP with Codex

OpenClaw logo

OpenClaw

Use Billsby MCP with OpenClaw

Hermes logo

Hermes

Use Billsby MCP with Hermes

CLI logo

CLI

Use Billsby MCP with CLI

Google ADK logo

Google ADK

Use Billsby MCP with Google ADK

LangChain logo

LangChain

Use Billsby MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Billsby MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Billsby MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Billsby MCP with LlamaIndex

CrewAI logo

CrewAI

Use Billsby MCP with CrewAI

FAQ

Frequently asked questions

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

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

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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.

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Billsby MCP Integration with AutoGen | Composio