Stripe Agent Toolkit

from stripe_agent_toolkit.openai.toolkit import StripeAgentToolkit toolkit = StripeAgentToolkit( secret_key="sk_test_...", configuration={ "actions": {"payment_links": {"create": True}}, "context": {"account": "acct_123"} }, )

import { StripeAgentToolkit } from "@stripe/agent-toolkit/langchain"; const toolkit = new StripeAgentToolkit({ secretKey: process.env.STRIPE_SECRET_KEY!, configuration: { actions: { paymentLinks: { create: true } }, context: { account: "acct_123" }, }, });

The Stripe Agent Toolkit enables popular agent frameworks including Model Context Protocol (MCP), 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 MCP, 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 MCP Python, TypeScript packages for more information.

Model Context Protocol

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

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",
      },
    },
  }),
});

Supported API methods

{ "mcpServers": { "stripe-local-mcp": { "command": "npx", "args": [ "-y", "@stripe/mcp", "--tools=all" ], "env": { "API_KEY": "<YOUR_STRIPE_SECRET_KEY>" } } } }

Stripe Agent Toolkit