How to integrate Proabono MCP with Pydantic AI

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Introduction

This guide walks you through connecting Proabono to Pydantic AI 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 Pydantic AI 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:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Proabono
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Proabono workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming

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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Proabono
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

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

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Proabono
  • MCPServerStreamableHTTP connects to the Proabono MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Proabono
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["proabono"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Proabono tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
proabono_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[proabono_mcp],
    instructions=(
        "You are a Proabono assistant. Use Proabono tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Proabono endpoint
  • The agent uses GPT-5 to interpret user commands and perform Proabono operations
  • The instructions field defines the agent's role and behavior

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Proabono.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Proabono API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Proabono and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Proabono
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["proabono"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    proabono_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[proabono_mcp],
        instructions=(
            "You are a Proabono assistant. Use Proabono tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Proabono.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Proabono through Composio's Tool Router. With this setup, your agent can perform real Proabono actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Proabono for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

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 Pydantic AI?

Yes, you can. Pydantic AI 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.

Used by agents from

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Letta
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HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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