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 Python, TypeScript packages for more information.

Model Context Protocol

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 --api-key=YOUR_STRIPE_SECRET_KEY

Tool permissions are controlled by your Restricted API Key (RAK). Create a RAK with the desired permissions at https://dashboard.stripe.com/apikeys

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. We strongly recommend using a Restricted API Key (rk_*) for better security and granular permissions. Tool availability is determined by the permissions you configure on the restricted key.

from stripe_agent_toolkit.openai.toolkit import create_stripe_agent_toolkit

async def main():
    toolkit = await create_stripe_agent_toolkit(secret_key="rk_test_...")
    tools = toolkit.get_tools()
    # ... use tools ...
    await toolkit.close()  # Clean up when done

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

async def main():
    toolkit = await create_stripe_agent_toolkit(secret_key="rk_test_...")

    stripe_agent = Agent(
        name="Stripe Agent",
        instructions="You are an expert at integrating with Stripe",
        tools=toolkit.get_tools()
    )
    # ... use agent ...
    await toolkit.close()

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.

toolkit = await create_stripe_agent_toolkit(
    secret_key="rk_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

import { createStripeAgentToolkit } from "@stripe/agent-toolkit/langchain";

const toolkit = await createStripeAgentToolkit({
  secretKey: process.env.STRIPE_SECRET_KEY!,
  configuration: {},
});

const tools = toolkit.getTools();
// ... use tools ...

await toolkit.close(); // Clean up when done

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";
import { createStripeAgentToolkit } from "@stripe/agent-toolkit/langchain";

const toolkit = await createStripeAgentToolkit({
  secretKey: process.env.STRIPE_SECRET_KEY!,
  configuration: {},
});

const tools = toolkit.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 toolkit = await createStripeAgentToolkit({
  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.