How to Use the Whop MCP in LangChain

Q: How do I list all products and plans using Whop and LangChain?

You can call listproducts to get every available item, and then use listplans to map out the subscription structures. The agent handles this in a chain, so you get clean data ready for your next step.

Q: What happens when I check payments using Whop and LangChain?

Calling listpayments gives you an immediate record of transactions. This output can then feed into another chain, perhaps triggering a review of customer invoices via listinvoices. It's all about linking the data.

Q: Can I check membership details with Whop and LangChain?

Yes, you use getmembership to pull specific details for a user. This information is crucial because it dictates whether your agent should then proceed to call cancelmembership. It’s a logical sequence.

Q: If I make a new promo code with Whop and LangChain, how do I verify it?

After running createpromocode, you can immediately run listpromocodes again. This confirms the code exists in the system. You'll also want to check listplans to make sure the new code applies as intended.

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Setup Whop with LangChain

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Process membership lifecycle changes

You can build an agent that handles a full user request chain. First, it checks current status by calling `get_membership`, then decides if cancellation is needed and executes `cancel_membership`. This sequence guarantees the right action based on real-time data. Because this uses LangChain's chaining structure, you can link these actions with other APIs. The output from checking plans (`list_plans`) instantly informs whether a user needs to see or interact with promo codes using `create_promo_code`.

Audit and reconcile billing data

Need to track money flow? Start by listing all customer invoices using `list_invoices`. Next, run a comprehensive check of payment transactions via `list_payments`. The agent can then cross-reference these two lists. This systematic approach gives you total visibility into the financial health derived from the Whop MCP Server. You'll also get access to `list_products` and `list_plans`, letting your chain verify if a customer was charged for an active plan or just a standalone product. It’s perfect for compliance workflows.

Manage promotional code rollout

Designing a new campaign? Your agent first lists all existing promo codes using `list_promo_codes` to check for overlaps. Then, it uses `create_promo_code` to generate the specific discount required. After creation, you can verify its potential usage by calling `list_plans` and ensuring the code applies correctly. This workflow is ideal for complex marketing funnels where one step's output dictates the next action. You don't just create a code; you integrate it into a measurable promotion.

Setup guide

Set up Whop MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Whop tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "whop-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Whop transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Whop. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Whop MCP in LangChain

You can call `list_products` to get every available item, and then use `list_plans` to map out the subscription structures. The agent handles this in a chain, so you get clean data ready for your next step.

Calling `list_payments` gives you an immediate record of transactions. This output can then feed into another chain, perhaps triggering a review of customer invoices via `list_invoices`. It's all about linking the data.

Yes, you use `get_membership` to pull specific details for a user. This information is crucial because it dictates whether your agent should then proceed to call `cancel_membership`. It’s a logical sequence.

After running `create_promo_code`, you can immediately run `list_promo_codes` again. This confirms the code exists in the system. You'll also want to check `list_plans` to make sure the new code applies as intended.

The primary data types involved are membership records (from `get_membership`), payment transactions (`list_payments`), and product/plan definitions (`list_products`). The agent orchestrates these diverse datasets.

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