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Vinkius

Stripe MCP Server for LangChain 13 tools — connect in under 2 minutes

Built by Vinkius GDPR 13 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Stripe through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "stripe": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Stripe, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Stripe
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Stripe through native MCP adapters. Connect 13 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Stripe MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 13 tools from Stripe via MCP

Why Use LangChain with the Stripe MCP Server

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

01

The largest ecosystem of integrations, chains, and agents — combine Stripe MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Stripe queries for multi-turn workflows

Stripe + LangChain Use Cases

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

01

RAG with live data: combine Stripe tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Stripe, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Stripe tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Stripe tool call, measure latency, and optimize your agent's performance

Stripe MCP Tools for LangChain (13)

These 13 tools become available when you connect Stripe to LangChain via MCP:

01

balance_get

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

02

charges_list

Filter by customer ID. List Stripe charges

03

customers_create

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

04

customers_list

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

05

invoices_list

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

06

payments_list

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

07

payouts_list

List Stripe payouts

08

prices_list

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

09

product_create

Use before creating prices. Create a new Stripe product

10

products_list

Use to browse your product offerings. List Stripe products

11

refund_create

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

12

refunds_list

List Stripe refunds

13

subscriptions_list

Optionally filter by customer or status. List Stripe subscriptions

Example Prompts for Stripe in LangChain

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

01

"Show my Stripe account balance."

02

"List all past-due subscriptions."

03

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

Troubleshooting Stripe MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Stripe + LangChain FAQ

Common questions about integrating Stripe MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Stripe to LangChain

Get your token, paste the configuration, and start using 13 tools in under 2 minutes. No API key management needed.