How do I get started with Stripe MCP?

Subscribe, then go to the **Stripe Dashboard → Developers → API keys** and copy your Secret key (starts with sk_live_ or sk_test_ for testing). Paste it here and you're ready. No SDK, no server setup, no webhooks — just connect and start querying your payment data.

Can my AI agent track subscription churn and billing status?

Yes. Ask your agent to list all subscriptions filtered by status — 'show me all past-due subscriptions' or 'how many canceled subscriptions do we have this month?'. It returns billing intervals, plan amounts, and whether the subscription will cancel at period end. Perfect for SaaS MRR monitoring.

How do I check if a customer's payment went through?

Just ask — 'check recent payments for customer cus_abc123' or 'did John's payment go through?'. Your agent pulls the latest payment intents showing the amount, currency, and status (succeeded, requires_action, or failed). No need to log into the Stripe dashboard or refresh browser tabs.

Can I manage customers and invoices for my entire team?

Absolutely. Create new customers with name, email, and notes in a single command. List all invoices filtered by customer or status — open, paid, or overdue. Share hosted invoice URLs directly from the conversation. Perfect for finance teams, SaaS billing departments, and e-commerce operations managing hundreds of customer accounts.

Stripe MCP Server for OpenAI Agents SDK 13 tools — connect in under 2 minutes

Name: Stripe
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 13 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Stripe through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Stripe Assistant",
            instructions=(
                "You help users interact with Stripe. "
                "You have access to 13 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Stripe"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Stripe MCP Server

Take full control of your payment operations with Stripe, the global payments platform trusted by millions of businesses. Your AI agent becomes your financial operations assistant — listing customers, checking payment statuses, reviewing subscriptions, pulling invoices, and monitoring your account balance.

The OpenAI Agents SDK auto-discovers all 13 tools from Stripe through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Stripe, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Customer Management — List, search, and create customers with names, emails, and metadata.
Payment Tracking — Monitor payment intents with status, amounts, and currency across all transactions.
Subscription Overview — Check active, past-due, and canceled subscriptions with billing intervals and plan details.
Invoice Monitoring — Review open, paid, and overdue invoices with hosted payment links.
Account Balance — Instantly check available and pending balances across all currencies.

The Stripe MCP Server exposes 13 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Stripe to OpenAI Agents SDK via MCP

Follow these steps to integrate the Stripe MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 13 tools from Stripe

Why Use OpenAI Agents SDK with the Stripe MCP Server

OpenAI Agents SDK provides unique advantages when paired with Stripe through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Stripe + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Stripe MCP Server delivers measurable value.

Automated workflows: build agents that query Stripe, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Stripe, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Stripe tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Stripe to resolve tickets, look up records, and update statuses without human intervention

Stripe MCP Tools for OpenAI Agents SDK (13)

These 13 tools become available when you connect Stripe to OpenAI Agents SDK via MCP:

balance_get

Shows available and pending amounts by currency. Amounts are in smallest currency unit (divide by 100 for dollars). Get Stripe account balance

charges_list

Filter by customer ID. List Stripe charges

customers_create

Name and email are required. Returns the created customer with their Stripe ID. Create a new Stripe customer

customers_list

Optionally filter by email. Returns customer details including name, email, balance, and delinquency status. List Stripe customers

invoices_list

Optionally filter by customer or status (draft, open, paid, uncollectible, void). List Stripe invoices

payments_list

Optionally filter by customer ID. Amounts are in the smallest currency unit (e.g., 1000 = $10.00). List Stripe payment intents

payouts_list

List Stripe payouts

prices_list

Filter by product to see all price tiers. List Stripe prices

product_create

Use before creating prices. Create a new Stripe product

products_list

Use to browse your product offerings. List Stripe products

refund_create

Specify amount in cents for partial refunds. Create a refund for a payment

refunds_list

List Stripe refunds

subscriptions_list

Optionally filter by customer or status. List Stripe subscriptions

Example Prompts for Stripe in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Stripe immediately.

"Show my Stripe account balance."

"List all past-due subscriptions."

"Create a new customer: Jane Smith, jane@example.com"

Troubleshooting Stripe MCP Server with OpenAI Agents SDK

Common issues when connecting Stripe to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Stripe + OpenAI Agents SDK FAQ

Common questions about integrating Stripe MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.