Proabono with LlamaIndex

How to integrate Proabono MCP with LlamaIndex

Introduction TL;DR What is LlamaIndex What is the Proabono MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Tool Router Step-by-step Guide Complete Code Conclusion How to build Proabono MCP Agent with another framework Explore Other Toolkits FAQ

Connect Proabono without Auth hassles

We manage OAuth, API Key, token refresh, and scopes, you just build.

Try for Free

Introduction

This guide walks you through connecting Proabono to LlamaIndex 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 LlamaIndex 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:

Set your OpenAI and Composio API keys
Install LlamaIndex and Composio packages
Create a Composio Tool Router session for Proabono
Connect LlamaIndex to the Proabono MCP server
Build a Proabono-powered agent using LlamaIndex
Interact with Proabono through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

ReAct Agent: Reasoning and acting pattern for tool-using agents
MCP Tools: Native support for Model Context Protocol
Context Management: Maintain conversation context across interactions
Async Support: Built 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:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before you begin, make sure you have:

Python 3.8/Node 16 or higher installed
A Composio account with the API key
An OpenAI API key
A Proabono account and project
Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Proabono

OpenAI API key (OPENAI_API_KEY)

Go to the OpenAI dashboard
Create an API key if you don't have one
Assign it to OPENAI_API_KEY in .env

Composio API key and user ID

Log into the Composio dashboard
Copy your API key from Settings
- Use this as COMPOSIO_API_KEY
Pick a stable user identifier (email or ID)
- Use this as COMPOSIO_USER_ID

Installing dependencies

pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv

Create a new Python project and install the necessary dependencies:

composio-llamaindex: Composio's LlamaIndex integration
llama-index: Core LlamaIndex framework
llama-index-llms-openai: OpenAI LLM integration
llama-index-tools-mcp: MCP client for LlamaIndex
python-dotenv: Environment variable management

Set environment variables

bash

OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

Authenticate with OpenAI's GPT-5 model
Connect to Composio's Tool Router
Identify your Composio user session for Proabono access

Import modules

import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

Create a new file called proabono_llamaindex_agent.py and import the required modules:

Key imports:

asyncio: For async/await support
Composio: Main client for Composio services
LlamaIndexProvider: Adapts Composio tools for LlamaIndex
ReActAgent: LlamaIndex's reasoning and action agent
BasicMCPClient: Connects to MCP endpoints
McpToolSpec: Converts MCP tools to LlamaIndex format

Load environment variables and initialize Composio

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

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_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")

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

Create a Tool Router session and build the agent function

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["proabono"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Proabono actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Proabono actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)

What's happening here:

We create a Composio client using your API key and configure it with the LlamaIndex provider
We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, proabono)
The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
LlamaIndex will connect to this endpoint to dynamically discover and use the available Proabono tools.
The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.

Create an interactive chat loop

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

What's happening here:

We're creating a direct terminal interface to chat with your Proabono database
The LLM's responses are streamed to the CLI for faster interaction.
The agent uses context to maintain conversation history
You can type 'quit' or 'exit' to stop the chat loop gracefully
Agent responses and any errors are displayed in a clear, readable format

Define the main entry point

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

What's happening here:

We're orchestrating the entire application flow
The agent gets built with proper error handling
Then we kick off the interactive chat loop so you can start talking to Proabono

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Proabono, then start asking questions.

Complete Code

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

import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

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

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
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")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["proabono"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Proabono actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Proabono actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

Conclusion

You've successfully connected Proabono to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:

Tool Router dynamically exposes Proabono tools through an MCP endpoint
LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
The agent becomes more capable without increasing prompt size
Async Python provides clean, efficient execution of agent workflows

You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

How to build Proabono MCP Agent with another framework

OpenAI Agents SDK

Use Proabono MCP with OpenAI Agents SDK

Claude Agent SDK

Use Proabono MCP with Claude Agent SDK

Google ADK

Use Proabono MCP with Google ADK

LangChain

Use Proabono MCP with LangChain

Vercel AI SDK

Use Proabono MCP with Vercel AI SDK

Mastra AI

Use Proabono MCP with Mastra AI

CrewAI

Use Proabono MCP with CrewAI

Claude Code

Use Proabono MCP with Claude Code

Codex

Use Proabono MCP with Codex

Explore Other Toolkits

Addressfinder

Api Key

Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.

Agiled

API Key

Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.

Airtable

OAuth2Bearer TokenAPI Key

Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.

TOOLKIT MARKETPLACE

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 LlamaIndex?

Yes, you can. LlamaIndex 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

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Book a call↗Get started for free

Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

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 has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

We chose Composio over Pipedream because it delivered depth where it mattered. It supported niche tools and tricky edge cases that other platforms simply ignored. Giving us confidence to scale without compromising.

Ryan YuFounder, Extra Thursday

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down in the complexities of managing agent auth would have been a death sentence for Extra Thursday.

Tomisin JenrolaFounder & CEO, SwarmZero

Before partnering with Composio, adding tool integrations was a slow, resource-intensive process. Each integration could take weeks or months of engineering time, and maintaining them meant constantly keeping up with API changes.

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

How to integrate Proabono MCP with LlamaIndex

Table of Contents

Connect Proabono without Auth hassles

Introduction

TL;DR

What is LlamaIndex?

What is the Proabono MCP server, and what's possible with it?

Supported Tools & Triggers

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

What is Tool Router?

How the Tool Router works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI, Composio, and Proabono

Installing dependencies

Set environment variables

Import modules

Load environment variables and initialize Composio

Create a Tool Router session and build the agent function

Create an interactive chat loop

Define the main entry point

Run the agent

Complete Code

Conclusion

How to build Proabono MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Google ADK

LangChain

Vercel AI SDK

Mastra AI

CrewAI

Claude Code

Codex

Explore Other Toolkits

Addressfinder

Agiled

Airtable

FAQ

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

Can I use Tool Router MCP with LlamaIndex?

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

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability