How to Use the Invoiced MCP in LangChain

Q: Can my LangChain agent verify API connectivity with Invoiced?

Yes. Your agent runs checkinvoicedstatus before starting any billing workflows. This step prevents your chains from breaking mid-execution if the API is down.

Q: How does LangChain track tool execution errors for Invoiced?

LangSmith monitors every call made to tools like listpayments or createcustomer. You see the exact inputs, outputs, and execution times in your tracing dashboard.

Build LangChain chains that instantly trigger Invoiced billing runs and reconcile payments without manual data entry.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Invoiced MCP to LangChain

Create your Vinkius account to connect Invoiced 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.

GDPR Free for Subscribers

Setup Invoiced with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run LangChain workflows that bill customers instantly

You can use `create_invoice` to generate bills directly from your LangChain execution chains. Your LangChain agent runs through a multi-step reasoning process to build the Invoiced line items dynamically. This chain pipes the output directly to your accounts receivable setup. LangSmith tracks the whole transaction, so you see the exact token usage and tool inputs for every Invoiced billing run.

Track outstanding balances via LangChain agents

The `list_invoices` tool gives your LangChain agents immediate access to unpaid Invoiced bills. Instead of logging into a dashboard, your agent checks outstanding balances and triggers follow-up tasks in the same chain. You get full observability into these collection runs. If an agent fails to pull the Invoiced ledger list, LangSmith pinpoints the exact latency spike or API payload error.

Connect LangChain chains to your payment ledger

The `list_payments` tool lets your LangChain agent scan recent incoming transactions to update internal systems. It reads the Invoiced payment history, matches transaction IDs, and feeds that data directly into your next chain link. This setup lets you build autonomous reconciliation runs. Your LangChain agent decides when to pull the list based on incoming webhooks or scheduled intervals.

Setup guide

Set up Invoiced 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 Invoiced 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({
    "invoiced-alternative-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 Invoiced 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 Invoiced. 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.

Connect Invoiced now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Invoiced MCP in LangChain

You initialize the MultiServerMCPClient and pass the tools to your agent. The agent calls `create_invoice` and then pipes that result into your next chain step.

Yes. Your agent runs `check_invoiced_status` before starting any billing workflows. This step prevents your chains from breaking mid-execution if the API is down.

LangSmith monitors every call made to tools like `list_payments` or `create_customer`. You see the exact inputs, outputs, and execution times in your tracing dashboard.

By default, the client is stateless. If your agent needs to remember customer details across multiple steps, use `client.session()` to keep the context active.

Your invoice details, payment records, and customer profiles stay locked down. Vinkius runs this server inside an isolated V8 sandbox, meaning your raw API keys and ledger data never leak to the LLM provider.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript