Stripe Agent Toolkit
Python and TypeScript library for integrating the Stripe API into agentic workflows
Overview
What is the Agent Toolkit?
The ### Agent Toolkit is a powerful library designed for integrating the Stripe API into agentic workflows using Python and TypeScript. This toolkit simplifies the process of managing payments and transactions, allowing developers to create seamless experiences for users interacting with the Stripe platform.
Features of the Agent Toolkit
- Multi-language Support: The toolkit supports both Python and TypeScript, making it versatile for developers with different programming backgrounds.
- Easy Integration: It provides straightforward methods to connect with the Stripe API, enabling quick setup and deployment.
- Comprehensive Documentation: The toolkit comes with extensive documentation available at docs.stripe.com/agents, ensuring developers have the resources they need to implement features effectively.
- Community Support: As a public repository, the Agent Toolkit benefits from community contributions, allowing for continuous improvement and updates.
How to Use the Agent Toolkit
-
Installation: Begin by installing the toolkit via pip for Python or npm for TypeScript.
- For Python:
pip install agent-toolkit
- For TypeScript:
npm install agent-toolkit
- For Python:
-
Configuration: Set up your Stripe API keys in your application to authenticate requests.
-
Implementation: Utilize the provided methods to create, manage, and process transactions. The toolkit includes functions for handling payments, refunds, and customer management.
-
Testing: Use the built-in testing features to ensure your integration works as expected before going live.
-
Deployment: Once tested, deploy your application and monitor transactions through the Stripe dashboard.
Frequently Asked Questions
Q: What programming languages does the Agent Toolkit support?
A: The Agent Toolkit supports both Python and TypeScript, making it accessible for a wide range of developers.
Q: Where can I find the documentation?
A: The documentation is available at docs.stripe.com/agents, providing detailed guidance on usage and features.
Q: Is the Agent Toolkit open-source?
A: Yes, the Agent Toolkit is a public repository on GitHub, allowing developers to contribute and improve the library.
Q: How can I report issues or request features?
A: You can report issues or request features by creating an issue on the GitHub repository for the Agent Toolkit.
Q: What license does the Agent Toolkit use?
A: The Agent Toolkit is licensed under the MIT license, allowing for free use and modification.
Details
Stripe Agent Toolkit
The Stripe Agent Toolkit enables popular agent frameworks including OpenAI's Agent SDK, LangChain, CrewAI, Vercel's AI SDK, and Model Context Protocol (MCP) to integrate with Stripe APIs through function calling. The library is not exhaustive of the entire Stripe API. It includes support for both Python and TypeScript and is built directly on top of the Stripe Python and Node SDKs.
Included below are basic instructions, but refer to the 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",
},
},
});
Metered billing
For Vercel's AI SDK, you can use middleware to submit billing events for usage. All that is required is the customer ID and the input/output meters to bill.
import { StripeAgentToolkit } from "@stripe/agent-toolkit/ai-sdk";
import { openai } from "@ai-sdk/openai";
import {
generateText,
experimental_wrapLanguageModel as wrapLanguageModel,
} from "ai";
const stripeAgentToolkit = new StripeAgentToolkit({
secretKey: process.env.STRIPE_SECRET_KEY!,
configuration: {
actions: {
paymentLinks: {
create: true,
},
},
},
});
const model = wrapLanguageModel({
model: openai("gpt-4o"),
middleware: stripeAgentToolkit.middleware({
billing: {
customer: "cus_123",
meters: {
input: "input_tokens",
output: "output_tokens",
},
},
}),
});
Model Context Protocol
The Stripe Agent Toolkit also supports the Model Context Protocol (MCP).
To run the Stripe MCP server using npx, use the following command:
npx -y @stripe/mcp --tools=all --api-key=YOUR_STRIPE_SECRET_KEY
Replace YOUR_STRIPE_SECRET_KEY
with your actual Stripe secret key. Or, you could set the STRIPE_SECRET_KEY in your environment variables.
Alternatively, you can set up your own MCP server. For example:
import { StripeAgentToolkit } from "@stripe/agent-toolkit/modelcontextprotocol";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
const server = new StripeAgentToolkit({
secretKey: process.env.STRIPE_SECRET_KEY!,
configuration: {
actions: {
paymentLinks: {
create: true,
},
products: {
create: true,
},
prices: {
create: true,
},
},
},
});
async function main() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("Stripe MCP Server running on stdio");
}
main().catch((error) => {
console.error("Fatal error in main():", error);
process.exit(1);
});
Supported API methods
- Create a customer
- List all customers
- Create a coupon
- List all coupons
- Create a product
- List all products
- Create a price
- List all prices
- Create a payment link
- Create an invoice
- Create an invoice item
- Finalize an invoice
- Retrieve balance
- List all subscriptions
- Update a subscription
- Cancel a subscription
- Create a refund
- List all disputes
- Update a dispute
Server Config
{
"mcpServers": {
"modelcontextprotocol": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/metorial/mcp-container--stripe--agent-toolkit--modelcontextprotocol",
"node dist/index.js --tools tools --api-key api-key"
],
"env": {}
}
}
}