How to Use the Billplz MCP in LangChain

Q: Can a LangChain agent delete unpaid collections in Billplz?

Yes, the LangChain agent can call deletebill on any pending Billplz invoice. It checks the Billplz status first, then removes the unpaid record to keep your LangChain ledger clean.

Q: How does LangChain handle bank lookups using Billplz?

Your LangChain agent runs getfpxbanks to retrieve active Billplz payment channels. It then formats these Billplz options for the user before calling createbill inside the LangChain session.

Run your Billplz payment flows inside LangChain reasoning chains with live tracking.

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Connect Billplz MCP to LangChain

Create your Vinkius account to connect Billplz 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 Billplz with LangChain

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Build multi-step payment pipelines in LangChain

You can wire your Billplz payment setup directly into complex LangChain chains using `create_collection`. When a LangChain agent runs, it checks supported FPX banks using `get_fpx_banks` to instantly create a custom Billplz invoice. Every LangChain step runs as a discrete node inside your Billplz transaction pipeline. If a payment fails, the LangChain agent inspects the output and decides to trigger `create_collection` or pull Billplz history to debug the mismatch.

Track every bill tool call with LangSmith

Stop guessing why a Billplz payment collection failed inside your LangChain runner. Pass your Billplz MCP Server tools into your LangChain agent and watch the billing execution graph light up in LangSmith. You see the exact payload sent to `get_bill` and the raw Billplz response inside your LangSmith trace. No hidden state, just clear LangChain execution paths for every Billplz transaction.

Dynamic Billplz collections based on LangChain logic

Don't hardcode your Billplz payment endpoints when building LangChain reasoning loops. Let your LangChain agent evaluate user context to trigger Billplz `activate_collection` or `deactivate_collection` dynamically. It uses real-time LangChain logic to spin up isolated Billplz payment buckets. You get clean separation of concerns without writing custom LangChain wrappers for each Billplz billing event.

Setup guide

Set up Billplz 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 Billplz 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({
    "billplz-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 Billplz 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 Billplz. 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 Billplz MCP in LangChain

Install the adapter package and initialize the LangChain client pointing to your Vinkius Billplz endpoint. You then fetch the Billplz toolset and pass it directly to your LangChain agent constructor to start billing.

Yes, the LangChain agent can call `delete_bill` on any pending Billplz invoice. It checks the Billplz status first, then removes the unpaid record to keep your LangChain ledger clean.

Your LangChain agent runs `get_fpx_banks` to retrieve active Billplz payment channels. It then formats these Billplz options for the user before calling `create_bill` inside the LangChain session.

Yes, you can combine Billplz tools with other MCP tools inside a single LangChain multi-agent setup. The adapter aggregates everything so your LangChain agent can query a database and immediately run Billplz `get_collection` in one session.

Every LangChain API call targeting your Billplz bank details or transaction history runs through an isolated Vinkius sandbox. Your raw Billplz API keys never touch the LangChain context directly, keeping your financial records safe.

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