agent-toolkit

Python and TypeScript library for integrating the Stripe API into agentic workflows

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The Stripe Agent Toolkit enables popular agent frameworks to integrate with Stripe APIs through function calling. It includes support for Python and TypeScript, built on top of Stripe Python and Node SDKs. The toolkit provides tools for LangChain, CrewAI, and Vercel's AI SDK, allowing users to configure actions like creating payment links, invoices, refunds, and more. Users can pass the toolkit as a list of tools to agents for integration with Stripe. Context values can be provided for making requests, such as specifying connected accounts for API calls. The toolkit also supports metered billing for Vercel's AI SDK, enabling billing events submission based on customer ID and input/output meters.

README:

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

For Tasks:

Click tags to check more tools for each tasks

create customer list products finalize invoice retrieve balance create refund

For Jobs:

software developer ai engineer web developer data scientist technical product manager

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