How to integrate Proabono MCP with CrewAI

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Introduction

This guide walks you through connecting Proabono to CrewAI 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 CrewAI 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 a Composio API key and configure your Proabono connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Proabono
  • Build a conversational loop where your agent can execute Proabono operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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 and API key
  • A Proabono connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python

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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Proabono via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env

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_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Proabono MCP URL

Create a Composio Tool Router session for Proabono

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["proabono"])

url = session.mcp.url
What's happening:
  • You create a Proabono only session through Composio
  • Composio returns an MCP HTTP URL that exposes Proabono tools

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

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

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["proabono"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Proabono through Composio's Tool Router. The agent can perform Proabono operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations

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 CrewAI?

Yes, you can. CrewAI 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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