How to integrate Proabono MCP with Autogen

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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.

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.

Supported Tools & Triggers

Tools
Anonymize CustomerTool to anonymize a customer for GDPR compliance.
Bill CustomerTool to trigger billing for a customer.
Create CustomerTool to create or declare a customer in ProAbono via the Backoffice API.
Create FeatureTool to create a new feature in ProAbono via the Backoffice API.
Delete CustomerTool to delete a customer from ProAbono by ID.
Delete OfferTool to delete an offer from ProAbono by ID.
Delete Pricing TableTool to delete a pricing table from ProAbono by its ID.
Delete Pricing Table OfferTool to delete a pricing table offer via the ProAbono Backoffice API.
Delete Subscription DiscountTool to delete a subscription discount via the Backoffice API.
Enable WebhookTool to enable a webhook in ProAbono via the Notification API.
Get Customer by IDTool to retrieve a single customer by ID from ProAbono Backoffice API.
Get Customer Billing AddressTool to retrieve a customer's billing address via the Backoffice API.
Get Customer Billing Address by ReferenceTool to retrieve the billing address for a customer by reference from ProAbono API.
Get Customer by ReferenceTool to retrieve a customer by their reference identifier from ProAbono API.
Get Customer Payment SettingsTool to retrieve customer payment settings via the Backoffice API.
Get DiscountTool to retrieve a discount by ID via the Backoffice API.
Get Feature by IDTool to retrieve a feature by ID from ProAbono Backoffice API.
Get Feature by ReferenceTool to retrieve a single feature by its reference from ProAbono API.
Get InvoiceTool to retrieve a specific invoice or credit note by ID from ProAbono.
Get Offer by IDTool to retrieve a single offer by its ID from ProAbono Backoffice API.
Get Subscription by Customer ReferenceTool to retrieve a subscription by customer reference from ProAbono.
Get Subscription Creation QuoteTool to get a pricing quote for creating a new subscription without actually creating it.
Get Usage RecordTool to retrieve a single usage record for a specific feature and customer combination from ProAbono.
Get Usages for CustomerTool to retrieve usage data for customers from ProAbono.
Invalidate CustomerTool to invalidate a customer by their reference.
Invalidate Customer by IDTool to invalidate a customer by their ProAbono internal ID.
List Balance LinesTool to list all balance lines from ProAbono.
List BusinessesTool to list all businesses from ProAbono via the Backoffice API.
List Business LocalizationTool to list localization entries by business from ProAbono via the HostedPages API.
List Customer MovesTool to list all customer balance moves via the ProAbono Backoffice API.
List CustomersTool to list all customers from ProAbono via the Backoffice API.
List Customers by FeatureTool to list customers that have access to a specific feature via the ProAbono API.
List DiscountsTool to list all discounts from ProAbono's Backoffice API.
List FeaturesTool 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 AccountsTool to list payment gateway accounts from ProAbono Backoffice API.
List Gateway PermissionsTool to list gateway permissions from ProAbono API.
List Gateway RequestsTool to list gateway requests from ProAbono.
List Gateway TransactionsTool to list gateway transactions from ProAbono.
List Invoice LinesTool to list all invoice lines from ProAbono via the Backoffice API.
List Invoices and Credit NotesTool to list all invoices and credit notes from ProAbono Backoffice API.
List Invoices by Customer ReferenceTool to list invoices for a specific customer by their reference identifier from ProAbono API.
List OffersTool to list all subscription offers (plans) from ProAbono Backoffice API.
List PaymentsTool to list all payments from ProAbono Backoffice API.
List Pricing Table OffersTool to list all pricing table offers via the ProAbono Backoffice API.
List Pricing TablesTool to list all pricing tables from ProAbono Backoffice API.
List Segment LocalizationsTool to list localization entries by segment from ProAbono Backoffice API.
List SegmentsTool to list all segments from ProAbono via the Backoffice API.
List Subscription DiscountsTool to list all subscription discounts via the ProAbono Backoffice API.
List Subscription FeaturesTool to list all subscription features via the ProAbono Backoffice API.
List Subscription PeriodsTool to list all subscription periods (billing cycles) from ProAbono Backoffice API.
List SubscriptionsTool 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 ExceptionsTool to list tax profile exceptions from ProAbono Organization API.
List Tax ProfilesTool to list all tax profiles from ProAbono via the Backoffice API.
List Upgrade OffersTool to retrieve offers available to upgrade an existing customer subscription.
List Webhook NotificationsTool to list webhook notifications from ProAbono via the Notification API.
List WebhooksTool to list webhooks from ProAbono Notification API.
Quote Balance Line CreationTool to get a pricing quote for creating a balance line (one-time charge or credit).
Revoke Customer Portal LinksTool to revoke encrypted customer portal links and generate new ones in ProAbono.
Update Business Billing AddressTool to update business billing address via the Backoffice API.
Update CustomerTool to update an existing customer in ProAbono via the Backoffice API.
Update Customer Billing AddressTool to update the billing address for a customer in ProAbono via the API.
Update Customer Payment SettingsTool to update payment settings for a specific customer in ProAbono.
Update Customer Shipping AddressTool to update customer shipping address via the Backoffice API.
Update FeatureTool to update an existing feature in ProAbono via the Backoffice API.
Update Tax ProfilesTool to update an existing tax profile in ProAbono via the Backoffice API.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

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

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 Proabono 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 Proabono 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 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

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 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

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.

How to build Proabono MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Proabono MCP?

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.

Can I use Tool Router MCP with Autogen?

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.

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

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.

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 Proabono data and credentials are handled as safely as possible.

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Entelligence
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