💡 Summary
Stripe AI provides SDKs for integrating Stripe with LLMs and agent frameworks.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); API keys/tokens handling and storage; dependency pinning and supply-chain risk. Run with least privilege and audit before enabling in production.

Stripe AI
This repo is the one-stop shop for building AI-powered products and businesses on top of Stripe.
It contains a collection of SDKs to help you integrate Stripe with LLMs and agent frameworks, including:
@stripe/agent-toolkit- for integrating Stripe APIs with popular agent frameworks through function calling—available in Python and TypeScript.@stripe/ai-sdk- for integrating Stripe's billing infrastructure with Vercel'saiand@ai-sdklibraries.@stripe/token-meter- for integrating Stripe's billing infrastructure with native SDKs from OpenAI, Anthropic, and Google Gemini, without any framework dependencies.
Model Context Protocol (MCP)
Stripe hosts a remote MCP server at https://mcp.stripe.com. This allows secure MCP client access via OAuth. View the docs here.
The Stripe Agent Toolkit also exposes tools in the Model Context Protocol (MCP) format. Or, to run a local Stripe MCP server using npx, use the following command:
npx -y @stripe/mcp --tools=all --api-key=YOUR_STRIPE_SECRET_KEY
See MCP for more details.
Agent toolkit
Stripe's Agent Toolkit enables popular agent frameworks including OpenAI's Agent SDK, LangChain, CrewAI, and Vercel's AI SDK to integrate with Stripe APIs through function calling. The library is not exhaustive of the entire Stripe API. It includes support for Python and TypeScript, and is built directly on top of the Stripe Python and Node SDKs.
Included below are basic instructions, but refer to Python and TypeScript packages for more information.
Python
Installation
You don't need this source code unless you want to modify the package. If you just want to use the package run:
pip install stripe-agent-toolkit
Requirements
- Python 3.11+
Usage
The library needs to be configured with your account's secret key which is available in your Stripe Dashboard.
from stripe_agent_toolkit.openai.toolkit import StripeAgentToolkit stripe_agent_toolkit = StripeAgentToolkit( secret_key="sk_test_...", configuration={ "actions": { "payment_links": { "create": True, }, } }, )
The toolkit works with OpenAI's Agent SDK, LangChain, and CrewAI and can be passed as a list of tools. For example:
from agents import Agent stripe_agent = Agent( name="Stripe Agent", instructions="You are an expert at integrating with Stripe", tools=stripe_agent_toolkit.get_tools() )
Examples for OpenAI's Agent SDK,LangChain, and CrewAI are included in /examples.
Context
In some cases you will want to provide values that serve as defaults when making requests. Currently, the account context value enables you to make API calls for your connected accounts.
stripe_agent_toolkit = StripeAgentToolkit( secret_key="sk_test_...", configuration={ "context": { "account": "acct_123" } } )
TypeScript
Installation
You don't need this source code unless you want to modify the package. If you just want to use the package run:
npm install @stripe/agent-toolkit
Requirements
- Node 18+
Usage
The library needs to be configured with your account's secret key which is available in your Stripe Dashboard. Additionally, configuration enables you to specify the types of actions that can be taken using the toolkit.
import { StripeAgentToolkit } from "@stripe/agent-toolkit/langchain"; const stripeAgentToolkit = new StripeAgentToolkit({ secretKey: process.env.STRIPE_SECRET_KEY!, configuration: { actions: { paymentLinks: { create: true, }, }, }, });
Tools
The toolkit works with LangChain and Vercel's AI SDK and can be passed as a list of tools. For example:
import { AgentExecutor, createStructuredChatAgent } from "langchain/agents"; const tools = stripeAgentToolkit.getTools(); const agent = await createStructuredChatAgent({ llm, tools, prompt, }); const agentExecutor = new AgentExecutor({ agent, tools, });
Context
In some cases you will want to provide values that serve as defaults when making requests. Currently, the account context value enables you to make API calls for your connected accounts.
const stripeAgentToolkit = new StripeAgentToolkit({ secretKey: process.env.STRIPE_SECRET_KEY!, configuration: { context: { account: "acct_123", }, }, });
Supported API methods
See the Stripe MCP docs for a list of supported methods.
License
Pros
- Supports multiple programming languages (Python, TypeScript)
- Integrates seamlessly with popular agent frameworks
- Provides a comprehensive toolkit for Stripe API interactions
Cons
- Limited to Stripe API functionalities
- Requires knowledge of OAuth for secure access
- Dependency on external libraries may complicate setup
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
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Copyright belongs to the original author stripe.
