How to Use the Payfunnels MCP in LangChain

Q: How do I authenticate the Payfunnels MCP Server inside my LangChain project?

You pass your Vinkius endpoint token when initializing the MultiServerMCPClient. This single token handles the security handshake, allowing your LangChain agents to call tools like listpayments securely.

Q: Can a LangChain agent generate recurring payment links automatically using Payfunnels?

Yes. The agent uses the createrecurringpaymentlink tool by parsing the customer's requested plan details. It translates natural language into the exact amount and interval parameters required by the API.

Q: Can I run this server with other tools in a single LangChain agent?

Yes, you use MultiServerMCPClient to pull tools from this server alongside your database or CRM tools. The agent then decides whether to check a database or run getpaymentdetails to resolve a query.

Let your LangChain agents build checkout forms and handle subscription changes directly inside your custom LLM chains.

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Connect Payfunnels MCP to LangChain

Create your Vinkius account to connect Payfunnels to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Payfunnels with LangChain

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Build multi-step billing chains in LangChain

The `create_one_time_payment_link` tool lets LangChain agents generate checkout links automatically inside custom chains. When a user requests an invoice, your agent calls this tool to get the URL, then feeds that link directly into the next chain step to email the customer. You can track this entire flow's latency and token usage inside LangSmith tracing. This MCP Server setup lets your agent make decisions based on past actions. If a customer complains about an overcharge, the agent checks their history with `list_payments` and triggers `refund_payment` in a single run. You get a clean, observable pipeline that handles revenue tasks without human intervention.

Manage subscriptions dynamically using LangGraph

The `list_subscriptions` tool lets LangGraph agents monitor active accounts and handle customer lifecycles programmatically. Your agent can pull active subscriptions and decide whether to offer a discount or execute `cancel_subscription` based on user sentiment. The stateless nature of default chains is bypassed when you use `client.session()` to keep context alive. Combining this Payfunnels MCP toolset with LangChain's 500+ integrations means your billing flows are never siloed. You can pull CRM data from one node, check the payment status using `get_subscription_details`, and update your internal database in the next node.

Automate setup fees inside your LangChain agent pipelines

The `create_setup_fee` tool allows your LangChain pipeline to initialize onboarding charges dynamically. Your agent can spin up onboarding by calling this tool and then immediately generate the recurring billing contract using `create_recurring_payment_link`. You do not have to hardcode the logic for different pricing tiers. The agent looks up current service rates using `list_service_fees` and builds the appropriate checkout link on the fly, keeping your pricing logic flexible and completely automated.

Setup guide

Set up Payfunnels 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 Payfunnels 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({
    "payfunnels-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 Payfunnels 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 Payfunnels. 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 Payfunnels MCP in LangChain

You pass your Vinkius endpoint token when initializing the `MultiServerMCPClient`. This single token handles the security handshake, allowing your LangChain agents to call tools like `list_payments` securely.

Yes. The agent uses the `create_recurring_payment_link` tool by parsing the customer's requested plan details. It translates natural language into the exact amount and interval parameters required by the API.

LangSmith traces the exact inputs and outputs for tools like `refund_payment` or `cancel_subscription`. If a refund fails, you can inspect the JSON payload and API response directly in your LangSmith dashboard.

Yes, you use `MultiServerMCPClient` to pull tools from this server alongside your database or CRM tools. The agent then decides whether to check a database or run `get_payment_details` to resolve a query.

All payment details, subscription statuses, and customer profiles fetched via `get_subscription_details` run inside Vinkius's secure, isolated V8 sandboxes. No raw credit card data ever touches your LLM or LangChain environment, keeping your billing operations fully isolated and compliant.

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