How to integrate Proabono MCP with Autogen

This guide walks you through connecting Proabono to AutoGen using the Composio tool router. By the end, you'll have a working Proabono agent that can list all active subscriptions for a customer, create a new subscription for acme corp, show overdue invoices for a specific customer through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Proabono account through Composio's Proabono MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Basic

Proabono is a smart subscription management platform that automates billing and recurring payments. It streamlines your subscription operations and customer lifecycle.

67 Tools

Introduction

This guide walks you through connecting Proabono to AutoGen using the Composio tool router. By the end, you'll have a working Proabono agent that can list all active subscriptions for a customer, create a new subscription for acme corp, show overdue invoices for a specific customer through natural language commands.

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

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

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

The Proabono MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Proabono account. It provides structured and secure access so your agent can perform Proabono operations on your behalf.

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

Supported Tools

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

Anonymize Customer

Tool to anonymize a customer for GDPR compliance.

Bill Customer

Tool to trigger billing for a customer.

Create Customer

Tool to create or declare a customer in ProAbono via the Backoffice API.

Create Feature

Tool to create a new feature in ProAbono via the Backoffice API.

Delete Customer

Tool to delete a customer from ProAbono by ID.

Delete Offer

Tool to delete an offer from ProAbono by ID.

Delete Pricing Table

Tool to delete a pricing table from ProAbono by its ID.

Delete Pricing Table Offer

Tool to delete a pricing table offer via the ProAbono Backoffice API.

Delete Subscription Discount

Tool to delete a subscription discount via the Backoffice API.

Enable Webhook

Tool to enable a webhook in ProAbono via the Notification API.

Get Customer by ID

Tool to retrieve a single customer by ID from ProAbono Backoffice API.

Get Customer Billing Address

Tool to retrieve a customer's billing address via the Backoffice API.

Get Customer Billing Address by Reference

Tool to retrieve the billing address for a customer by reference from ProAbono API.

Get Customer by Reference

Tool to retrieve a customer by their reference identifier from ProAbono API.

Get Customer Payment Settings

Tool to retrieve customer payment settings via the Backoffice API.

Get Discount

Tool to retrieve a discount by ID via the Backoffice API.

Get Feature by ID

Tool to retrieve a feature by ID from ProAbono Backoffice API.

Get Feature by Reference

Tool to retrieve a single feature by its reference from ProAbono API.

Get Invoice

Tool to retrieve a specific invoice or credit note by ID from ProAbono.

Get Offer by ID

Tool to retrieve a single offer by its ID from ProAbono Backoffice API.

Get Subscription by Customer Reference

Tool to retrieve a subscription by customer reference from ProAbono.

Get Subscription Creation Quote

Tool to get a pricing quote for creating a new subscription without actually creating it.

Get Usage Record

Tool to retrieve a single usage record for a specific feature and customer combination from ProAbono.

Get Usages for Customer

Tool to retrieve usage data for customers from ProAbono.

Invalidate Customer

Tool to invalidate a customer by their reference.

Invalidate Customer by ID

Tool to invalidate a customer by their ProAbono internal ID.

List Balance Lines

Tool to list all balance lines from ProAbono.

List Businesses

Tool to list all businesses from ProAbono via the Backoffice API.

List Business Localization

Tool to list localization entries by business from ProAbono via the HostedPages API.

List Customer Moves

Tool to list all customer balance moves via the ProAbono Backoffice API.

List Customers

Tool to list all customers from ProAbono via the Backoffice API.

List Customers by Feature

Tool to list customers that have access to a specific feature via the ProAbono API.

List Discounts

Tool to list all discounts from ProAbono's Backoffice API.

List Features

Tool to list all features via the ProAbono Backoffice API.

List Features (V1)

Tool to retrieve all features from ProAbono API using the /v1/Features endpoint.

List Gateway Accounts

Tool to list payment gateway accounts from ProAbono Backoffice API.

List Gateway Permissions

Tool to list gateway permissions from ProAbono API.

List Gateway Requests

Tool to list gateway requests from ProAbono.

List Gateway Transactions

Tool to list gateway transactions from ProAbono.

List Invoice Lines

Tool to list all invoice lines from ProAbono via the Backoffice API.

List Invoices and Credit Notes

Tool to list all invoices and credit notes from ProAbono Backoffice API.

List Invoices by Customer Reference

Tool to list invoices for a specific customer by their reference identifier from ProAbono API.

List Offers

Tool to list all subscription offers (plans) from ProAbono Backoffice API.

List Payments

Tool to list all payments from ProAbono Backoffice API.

List Pricing Table Offers

Tool to list all pricing table offers via the ProAbono Backoffice API.

List Pricing Tables

Tool to list all pricing tables from ProAbono Backoffice API.

List Segment Localizations

Tool to list localization entries by segment from ProAbono Backoffice API.

List Segments

Tool to list all segments from ProAbono via the Backoffice API.

List Subscription Discounts

Tool to list all subscription discounts via the ProAbono Backoffice API.

List Subscription Features

Tool to list all subscription features via the ProAbono Backoffice API.

List Subscription Periods

Tool to list all subscription periods (billing cycles) from ProAbono Backoffice API.

List Subscriptions

Tool to list all subscriptions from ProAbono via the Backoffice API.

List Subscriptions (V1)

Tool to retrieve all subscriptions from ProAbono API using the /v1/Subscriptions endpoint.

List Tax Profile Exceptions

Tool to list tax profile exceptions from ProAbono Organization API.

List Tax Profiles

Tool to list all tax profiles from ProAbono via the Backoffice API.

List Upgrade Offers

Tool to retrieve offers available to upgrade an existing customer subscription.

List Webhook Notifications

Tool to list webhook notifications from ProAbono via the Notification API.

List Webhooks

Tool to list webhooks from ProAbono Notification API.

Quote Balance Line Creation

Tool to get a pricing quote for creating a balance line (one-time charge or credit).

Revoke Customer Portal Links

Tool to revoke encrypted customer portal links and generate new ones in ProAbono.

Update Business Billing Address

Tool to update business billing address via the Backoffice API.

Update Customer

Tool to update an existing customer in ProAbono via the Backoffice API.

Update Customer Billing Address

Tool to update the billing address for a customer in ProAbono via the API.

Update Customer Payment Settings

Tool to update payment settings for a specific customer in ProAbono.

Update Customer Shipping Address

Tool to update customer shipping address via the Backoffice API.

Update Feature

Tool to update an existing feature in ProAbono via the Backoffice API.

Update Tax Profiles

Tool to update an existing tax profile in ProAbono via the Backoffice API.

FRAMEWORKS

How to build Proabono MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Proabono MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Proabono MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Proabono MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Proabono MCP with Claude Cowork

Codex logo

Codex

Use Proabono MCP with Codex

OpenClaw logo

OpenClaw

Use Proabono MCP with OpenClaw

Hermes logo

Hermes

Use Proabono MCP with Hermes

CLI logo

CLI

Use Proabono MCP with CLI

Google ADK logo

Google ADK

Use Proabono MCP with Google ADK

LangChain logo

LangChain

Use Proabono MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Proabono MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Proabono MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Proabono MCP with LlamaIndex

CrewAI logo

CrewAI

Use Proabono MCP with CrewAI

FAQ

Frequently asked questions

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

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

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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
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
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.

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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
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.

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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.

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Co-Founder, Ingram Technologies