How to integrate Stripe MCP with LlamaIndex

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Introduction

This guide walks you through connecting Stripe to LlamaIndex using the Composio tool router. By the end, you'll have a working Stripe agent that can create a new stripe customer with email, generate a draft invoice for recent orders, cancel an active subscription at period end, issue a refund for a specific payment through natural language commands.

This guide will help you understand how to give your LlamaIndex agent real control over a Stripe account through Composio's Stripe 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 Stripe
  • Connect LlamaIndex to the Stripe MCP server
  • Build a Stripe-powered agent using LlamaIndex
  • Interact with Stripe 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 Stripe MCP server, and what's possible with it?

The Stripe MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Stripe account. It provides structured and secure access to your payments platform, so your agent can perform actions like creating customers, managing subscriptions, issuing refunds, and generating invoices on your behalf.

  • Automated customer management: Effortlessly create, update, or delete Stripe customers—enabling streamlined onboarding and account maintenance through your agent.
  • Subscription and recurring billing automation: Have your agent create, configure, or cancel subscriptions, supporting trials, discounts, and advanced billing scenarios with ease.
  • Smart payment and refund processing: Allow your agent to initiate payment intents, confirm transactions, and issue full or partial refunds as needed, all through secure APIs.
  • Seamless invoice and price creation: Generate draft invoices for customers, create new products, and set up pricing structures—saving you time on manual billing tasks.
  • Advanced product and pricing management: Let your agent create new products and prices, helping you roll out new offerings or adjust monetization strategies with just a prompt.

Supported Tools & Triggers

Tools
Triggers
Cancel subscriptionCancels a customer's active stripe subscription at the end of the current billing period, with options to invoice immediately for metered usage and prorate charges for unused time.
Confirm payment intentConfirms a stripe paymentintent to finalize a payment; a `return url` is necessary if the payment method requires customer redirection.
Create CustomerCreates a new customer in stripe, required for creating charges or subscriptions; an email is highly recommended for customer communications.
Create an invoiceCreates a new draft stripe invoice for a customer; use to revise an existing invoice, bill for a specific subscription (which must belong to the customer), or apply detailed customizations.
Create payment intentCreates a stripe paymentintent to initiate and process a customer's payment; using `application fee amount` for a connected account requires the `stripe-account` header.
Create a priceCreates a new stripe price for a product, defining its charges (one-time or recurring) and billing scheme; requires either an existing `product` id or `product data`.
Create productCreates a new product in stripe, encoding the request as `application/x-www-form-urlencoded` by flattening nested structures.
Create RefundCreates a full or partial refund in stripe, targeting either a specific charge id or a payment intent id.
Create subscriptionCreates a new, highly configurable subscription for an existing stripe customer, supporting multiple items, trials, discounts, and various billing/payment options.
Delete customerPermanently deletes an existing stripe customer; this irreversible action also cancels their active subscriptions and removes all associated data.
List ChargesRetrieves a list of stripe charges with filtering and pagination; use valid cursor ids from previous responses for pagination, and note that charges are typically returned in reverse chronological order.
List Stripe couponsRetrieves a list of discount coupons from a stripe account, supporting pagination via `limit`, `starting after`, and `ending before`.
List customer payment methodsRetrieves a list of payment methods for a given customer, supporting type filtering and pagination.
List customersRetrieves a list of stripe customers, with options to filter by email, creation date, or test clock, and support for pagination.
List InvoicesRetrieves a list of stripe invoices, filterable by various criteria and paginatable using invoice id cursors obtained from previous responses.
List payment intentsRetrieves a list of stripe paymentintents, optionally filtered and paginated using paymentintent ids as cursors.
List payment linksRetrieves a list of payment links from stripe, sorted by creation date in descending order by default.
List productsRetrieves a list of stripe products, with optional filtering and pagination; `starting after`/`ending before` cursors must be valid product ids from a previous response.
List RefundsLists stripe refunds, sorted by creation date descending (newest first), with optional filtering by charge or payment intent and pagination support.
List Stripe shipping ratesRetrieves a list of stripe shipping rates, filterable by active status, creation date, and currency; useful for managing or displaying shipping options.
List subscriptionsRetrieves a list of stripe subscriptions, optionally filtered by various criteria such as customer, price, status, collection method, and date ranges, with support for pagination.
List tax codesRetrieves a paginated list of globally available, predefined stripe tax codes used for classifying products and services in stripe tax.
List tax ratesRetrieves a list of tax rates, which are returned sorted by creation date in descending order.
Retrieve BalanceRetrieves the complete current balance details for the connected stripe account.
Retrieve Charge DetailsRetrieves full details for an existing stripe charge using its unique id.
Retrieve customerRetrieves detailed information for an existing stripe customer using their unique customer id.
Retrieve payment intentRetrieves a paymentintent by its id; `client secret` is required if a publishable api key is used.
Retrieve a refundRetrieves details for an existing stripe refund using its unique `refund id`.
Retrieve subscriptionRetrieves detailed information for an existing stripe subscription using its unique id.
Search Stripe customersRetrieves a list of stripe customers matching a search query that adheres to stripe's search query language.
Update CustomerUpdates an existing stripe customer, identified by customer id, with only the provided details; unspecified fields remain unchanged.
Update Payment IntentUpdates a stripe paymentintent with new values for specified parameters; note that if `currency` is updated, `amount` might also be required, and certain updates (e.
Update SubscriptionUpdates an existing, non-canceled stripe subscription by its id, ensuring all referenced entity ids (e.

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 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 Stripe account and project
  • Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Stripe

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 Stripe 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 stripe_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=["stripe"],
    )

    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 Stripe actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Stripe 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, stripe)
  • 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 Stripe 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 Stripe 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 Stripe

Run the agent

npx ts-node llamaindex-agent.ts

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

Complete Code

Here's the complete code to get you started with Stripe 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=["stripe"],
    )

    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 Stripe actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Stripe 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 Stripe to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Stripe 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 Stripe MCP Agent with another framework

FAQ

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

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

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

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

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