Stripe

The Stripe agent connector is a Python package that equips AI agents to interact with Stripe through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP.

Stripe is a payment processing platform that enables businesses to accept payments, manage subscriptions, and handle financial transactions. This connector provides access to customers for payment analytics and customer management.

Example questions

The Stripe connector is optimized to handle prompts like these.

List customers created in the last 7 days
Show me details for a recent customer
List recent charges
Show me details for a recent charge
List recent invoices
List active subscriptions
Show me my top 10 customers by total revenue this month
List all customers who have spent over $5,000 in the last quarter
Analyze payment trends for my Stripe customers
Identify which customers have the most consistent subscription payments
Give me insights into my customer retention rates
Summarize the payment history for {customer}
Compare customer spending patterns from last month to this month
Show me details about my highest-value Stripe customers
What are the key financial insights from my customer base?
Break down my customers by their average transaction value

Unsupported questions

The Stripe connector isn't currently able to handle prompts like these.

Create a new customer profile in Stripe
Update the billing information for {customer}
Delete a customer record
Send a payment reminder to {customer}
Schedule an automatic invoice for {company}

Installation

uv pip install airbyte-agent-stripe

Usage

Connectors can run in open source or hosted mode.

Open source

In open source mode, you provide API credentials directly to the connector.

from airbyte_agent_stripe import StripeConnector
from airbyte_agent_stripe.models import StripeAuthConfig

connector = StripeConnector(
    auth_config=StripeAuthConfig(
        api_key="<Your Stripe API Key (starts with sk_test_ or sk_live_)>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@StripeConnector.tool_utils
async def stripe_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Hosted

In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead. If your Airbyte client can access multiple organizations, also set organization_id.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

from airbyte_agent_stripe import StripeConnector, AirbyteAuthConfig

connector = StripeConnector(
    auth_config=AirbyteAuthConfig(
        customer_name="<your_customer_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@StripeConnector.tool_utils
async def stripe_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Full documentation

Entities and actions

This connector supports the following entities and actions. For more details, see this connector's full reference documentation.

Entity	Actions
Customers	List, Create, Get, Update, Delete, API Search, Context Store Search
Invoices	List, Get, API Search, Context Store Search
Charges	List, Get, API Search, Context Store Search
Subscriptions	List, Get, API Search, Context Store Search
Refunds	List, Create, Get, Context Store Search
Products	List, Create, Get, Update, Delete, API Search
Balance	Get
Balance Transactions	List, Get
Payment Intents	List, Get, API Search
Disputes	List, Get
Payouts	List, Get

Authentication

For all authentication options, see the connector's authentication documentation.

Stripe API docs

See the official Stripe API reference.

Version information

Package version: 0.5.130
Connector version: 0.1.13
Generated with Connector SDK commit SHA: c5258debd165ab701252c1436d4acfb475bf92b9
Changelog: View changelog

Metadata

Release files for airbyte-agent-stripe 0.5.130

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for airbyte-agent-stripe 0.5.130
File	Size	Uploaded
airbyte_agent_stripe-0.5.130.tar.gz	307.5 kB	Apr 9, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for airbyte-agent-stripe 0.5.130
File	Interpreter	ABI	Platform	Reset
airbyte_agent_stripe-0.5.130-py3-none-any.whl 324.6 kB Apr 9, 2026	Python 3	none	any	Details

Total release size: 632.1 kB

Release files / airbyte_agent_stripe-0.5.130.tar.gz

Download URL	airbyte_agent_stripe-0.5.130.tar.gz
Size	307.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`5fadaac51cd033fe144c3720649fd0a2ae65a5b1c32ce02c6b0d1fde5d11bf3d`
BLAKE2b-256 checksum How to use checksums	`9b193b4c898ac95dc02fcb389ea30e8ee2fb3b304ff2529de42aa0a1727134dc`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`

Release files / airbyte_agent_stripe-0.5.130-py3-none-any.whl

Download URL	airbyte_agent_stripe-0.5.130-py3-none-any.whl
Size	324.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e1d66fbf6b38c0159b2ae18c7a8b99ee71f7852f7bcbe01f47f35296413f479a`
BLAKE2b-256 checksum How to use checksums	`5ed6d9d101da910d79c4f1a690f4e164652b8a3c21f5aad1d7a41a28117c4f45`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`