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 Pydantic AI 13 tools — connect in under 2 minutes

Name: Stripe
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 13 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Stripe through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Stripe "
            "(13 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Stripe?"
    )
    print(result.data)

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.

Pydantic AI validates every Stripe tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Stripe MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 13 tools from Stripe with type-safe schemas

Why Use Pydantic AI with the Stripe MCP Server

Pydantic AI provides unique advantages when paired with Stripe through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Stripe integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Stripe connection logic from agent behavior for testable, maintainable code

Stripe + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Stripe MCP Server delivers measurable value.

Type-safe data pipelines: query Stripe with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Stripe tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Stripe and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Stripe responses and write comprehensive agent tests

Stripe MCP Tools for Pydantic AI (13)

These 13 tools become available when you connect Stripe to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Stripe to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Stripe + Pydantic AI FAQ

Common questions about integrating Stripe MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Stripe MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.