How to Use the Billsby MCP in LangChain

Q: Can I trace Billsby API calls made by LangChain?

Yes, every tool call like listplans or getsubscription is tracked automatically if you have LangSmith enabled. You can monitor latency, token usage, and payload details for every run.

Run multi-step billing and customer lookup workflows directly inside your LangChain pipelines with this Billsby MCP integration.

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Connect Billsby MCP to LangChain

Create your Vinkius account to connect Billsby 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 Billsby with LangChain

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Chain Billsby customer lookups in LangChain

The `get_customer` and `get_customer_subscriptions` tools let your LangChain agents check a customer's history and active plans in a single run. By combining these tools, the agent pulls user profiles and immediately fetches their billing status. This removes the need for manual API glue code in your Python backend.

Run multi-step billing updates autonomously

The `list_plans` tool helps your agent find the right tier when a user asks to change their plan. After finding the tier, it uses `create_customer` to set up new accounts or modify existing ones. No hardcoded logic is needed to feed output from one tool to the next.

Debug Billsby MCP Server calls with LangSmith

The `list_invoices` and `list_addons` tools let you trace every single billing call in your LangSmith dashboard. You see the raw JSON payloads, execution latency, and token costs for every billing query. This setup keeps your financial workflows transparent.

Setup guide

Set up Billsby 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 Billsby 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({
    "billsby-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 Billsby transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Billsby. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Common questions about Billsby MCP in LangChain

Install langchain-mcp-adapters and initialize the MCP client pointing to the Vinkius endpoint. Call client.get_tools() and pass that list directly to your agent constructor.

Yes, every tool call like list_plans or get_subscription is tracked automatically if you have LangSmith enabled. You can monitor latency, token usage, and payload details for every run.

The agent receives the error message directly as tool output. You can configure your chain to let the agent retry the action or fall back to a human operator if a call like create_customer fails.

No, Vinkius manages the API keys for you. Your code only needs a single Vinkius endpoint token to connect and start calling the tools.

All communications run through a secure V8 isolate sandbox on Vinkius. Your customer profiles, invoices, and subscription data are never stored on our platform; we only proxy the requests directly to the billing API.

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