How to integrate Stripe MCP with Pydantic AI

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Introduction

This guide walks you through connecting Stripe to Pydantic AI 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 Pydantic AI 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:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Stripe
  • 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 Stripe 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 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 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 Stripe
  • 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 Stripe
  • MCPServerStreamableHTTP connects to the Stripe 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 Stripe
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["stripe"],
    )
    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 Stripe 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
stripe_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[stripe_mcp],
    instructions=(
        "You are a Stripe assistant. Use Stripe tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Stripe endpoint
  • The agent uses GPT-5 to interpret user commands and perform Stripe 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 Stripe.\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
  • Stripe 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 Stripe 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 Stripe
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["stripe"],
    )
    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
    stripe_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[stripe_mcp],
        instructions=(
            "You are a Stripe assistant. Use Stripe 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 Stripe.\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 Stripe through Composio's Tool Router. With this setup, your agent can perform real Stripe 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 + Stripe 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 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 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 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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Letta
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HubSpot
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Altera
DataStax
Entelligence
Rolai
Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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