4,000+ servers built on vurb.ts
Vinkius

Whop MCP Server for LangChainGive LangChain instant access to 11 tools to Cancel Membership, Create Promo Code, Get Me, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

The Whop MCP Server for LangChain is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
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({
        "whop": {
            "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 Whop, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Whop
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 Whop MCP Server

Connect your Whop account to any AI agent to automate your digital commerce and membership operations. Whop provides an all-in-one platform for selling digital access, managing subscriptions, and tracking customer payments through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Whop through native MCP adapters. Connect 11 tools via 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

  • Product Orchestration — List and manage your digital products and subscription plans with detailed pricing metadata.
  • Membership Management — Retrieve active user memberships, monitor subscription statuses, and process cancellations programmatically.
  • Financial Monitoring — Track payment histories and retrieve customer invoices directly from the AI interface to monitor revenue streams.
  • Marketing Automation — Create and manage promo codes for your digital storefront to drive sales through natural language commands.
  • Customer Experience — Monitor product reviews and user feedback to stay updated on your community's health.

The Whop MCP Server exposes 11 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Whop tools available for LangChain

When LangChain connects to Whop through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-products, membership-management, payment-processing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel membership on Whop

Cancel a user membership

create

Create promo code on Whop

Create a new promo code

get

Get me on Whop

Get current Whop user or company details

get

Get membership on Whop

Get details for a specific membership

list

List invoices on Whop

List customer invoices

list

List memberships on Whop

List user memberships

list

List payments on Whop

List payment transactions

list

List plans on Whop

List all Whop subscription plans

list

List products on Whop

List all Whop products

list

List promo codes on Whop

List promotional codes

list

List reviews on Whop

List product reviews

Connect Whop to LangChain via MCP

Follow these steps to wire Whop into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 11 tools from Whop via MCP

Why Use LangChain with the Whop MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Whop 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 Whop queries for multi-turn workflows

Whop + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Whop in LangChain

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

01

"Create a new promo code 'SUMMER2024' that gives a 20% discount on the 'Premium VIP Signals' subscription plan."

02

"Find the membership details for user ID 'usr_89231' and cancel their active subscription immediately."

03

"Check our most recent customer reviews for the 'Trading Masterclass' product and verify if the latest transaction from today was successful."

Troubleshooting Whop MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Whop + LangChain FAQ

Common questions about integrating Whop 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.

Explore More MCP Servers

View all →