Stripe 代理工具包
概覽
什麼是代理工具包?
代理工具包是一個強大的庫,旨在使用 Python 和 TypeScript 將 Stripe API 集成到代理工作流程中。這個工具包簡化了管理支付和交易的過程,使開發人員能夠為與 Stripe 平台互動的用戶創建無縫的體驗。
代理工具包的特點
- 多語言支持:該工具包支持 Python 和 TypeScript,對於不同編程背景的開發人員來說非常靈活。
- 易於集成:它提供了簡單的方法來連接 Stripe API,實現快速設置和部署。
- 全面的文檔:該工具包附帶了詳細的文檔,網址為 docs.stripe.com/agents,確保開發人員擁有有效實施功能所需的資源。
- 社區支持:作為一個公共庫,代理工具包受益於社區的貢獻,實現持續改進和更新。
如何使用代理工具包
-
安裝:首先通過 pip 安裝 Python 版本或通過 npm 安裝 TypeScript 版本的工具包。
- 對於 Python:
pip install agent-toolkit
- 對於 TypeScript:
npm install agent-toolkit
- 對於 Python:
-
配置:在應用程序中設置您的 Stripe API 密鑰以驗證請求。
-
實施:利用提供的方法來創建、管理和處理交易。該工具包包含處理支付、退款和客戶管理的功能。
-
測試:使用內置的測試功能確保您的集成在上線前按預期工作。
-
部署:測試完成後,部署您的應用程序並通過 Stripe 儀表板監控交易。
常見問題解答
問:代理工具包支持哪些編程語言?
答:代理工具包支持 Python 和 TypeScript,對於廣泛的開發人員來說都很方便。
問:我可以在哪裡找到文檔?
答:文檔可在 docs.stripe.com/agents 獲得,提供有關用法和功能的詳細指導。
問:代理工具包是開源的嗎?
答:是的,代理工具包是 GitHub 上的公共庫,允許開發人員貢獻和改進該庫。
問:我如何報告問題或請求功能?
答:您可以通過在代理工具包的 GitHub 倉庫上創建問題來報告問題或請求功能。
問:代理工具包使用什麼許可證?
答:代理工具包根據 MIT 許可證授權,允許免費使用和修改。
詳細
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
伺服器配置
{
"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": {}
}
}
}