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How to Use the VATNode MCP in LangChain

Build multi-step financial agents with LangChain and VATNode.

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…and any MCP-compatible client

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LangChain

Connect VATNode MCP to LangChain

Create your Vinkius account to connect VATNode 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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Run complex tax logic in chains.

The `get_company_by_vat` tool lets your AI client pull company details using a VAT number. You can chain this output directly into the `validate_vat_number` tool to verify the metadata and ensure the data is clean. This sequence builds reasoning pipelines where the agent decides which tools to call and in what order based on intermediate results. It's perfect for multi-step validation workflows.

Check VAT rates across many countries via LangChain.

Need tax info for global operations? The `list_all_vat_rates` tool gives you a rundown of all supported country rates. You can then pipe that list into the `get_country_tax_info` tool to focus on specific regulatory details. Using an MCP Server like VATNode means your agent doesn't stop after one lookup; it keeps running, building a complete financial picture.

Audit usage and tax rates with LangChain.

The `get_api_usage` tool lets you check current API statistics before making calls. This is critical for monitoring costs in long chains of operations. You can combine this with `get_country_vat_rates` to audit both cost and compliance. LangChain's ability to pass the output of one MCP tool call as input to another makes complex financial auditing straightforward.

Setup guide

Set up VATNode MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes VATNode tool calls through the MCP protocol.

  4. 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({
    "vatnode-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 VATNode transactions"
    })
    print(result["messages"][-1].content)

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

You use `list_all_vat_rates` first to see supported countries. Then, your agent uses the specific country code output from that list to query detailed rates using `get_country_vat_rates`. It’s a clean, automated flow.
Absolutely. The agent decides the sequence. For example, it can first call `validate_vat_number` to get company metadata and then use that specific ID to run a secondary check with `get_company_by_vat`.
VATNode provides financial validation tools. Specifically, the server touches company metadata and tax rates when running functions like `validate_vat_number`. The agent reports on the successful execution of these tool calls.
Just call the `validate_vat_number` tool. It verifies both validity and pulls back company metadata in one step. The output can then be immediately passed to your next reasoning step.
Yeah, it is. You get structured JSON outputs from tools like `get_country_tax_info` and `get_country_vat_rates`. This makes the data easy to consume in subsequent nodes of your chain.

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