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How to Use the Nubarium MCP in LangChain

Verify Mexican corporate registration and tax IDs inside your LangChain chains with real-time audit trails.

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LangChain

Connect Nubarium MCP to LangChain

Create your Vinkius account to connect Nubarium 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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Chaining Identity Verification in LangChain

`validate_mex_rfc` acts as the entry point for verification chains where your LangChain agent pulls tax details and immediately pipes them into downstream steps. Your agent uses the MCP Server to check the tax ID status, catch formatting errors, and decide if it needs to trigger deeper validation without manual intervention. Your LangChain run logs every step of this validation process in LangSmith, giving you full visibility into latency and token usage for each Mexican tax registry query. You get a clear, auditable trace of how the agent parsed the raw RFC metadata before passing it to your database.

Automated Legal Representative Audits

`validate_mex_legal_representative` lets your LangChain agent verify corporate authority by checking if a specific CURP matches the registered RFC. The agent uses the output of previous company search steps to run this check, confirming whether a person actually has signing power for the business. By linking this tool with LangChain's memory modules, your agent maintains context across long verification sessions. You don't have to rebuild the state machine; the chain passes the verified corporate officer details directly to your onboarding workflow.

Dynamic Company Registry Lookups

`search_mex_companies` handles the initial search for Mexican businesses by name, returning a list of matching corporate entities. Your LangChain agent receives this list and dynamically selects the correct company ID to pull deeper records using `get_mex_company_details`. This multi-step lookup happens within a single execution loop, allowing your agent to resolve ambiguous business names on the fly. The agent filters out false positives by comparing search scores before committing the final corporate profile to your system.

Setup guide

Set up Nubarium 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 Nubarium 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({
    "nubarium-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 Nubarium 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 Nubarium. 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 Nubarium MCP in LangChain

The server returns clear usage metadata via `get_api_usage` to help your agent throttle its requests. You can write a custom LangChain output parser that checks these limits and pauses the chain before hitting provider ceilings.
Yes, every call to `validate_mex_curp` or company search tools shows up as a distinct step in your LangSmith dashboard. You can inspect the exact payload sent to the Mexican registries and measure the response latency.
Install `langchain-mcp-adapters` and initialize the client with the Vinkius transport URL. Once connected, your client connects to the MCP Server and gains immediate access to the six Mexican verification tools.
The `validate_mex_curp` tool returns a structured error payload instead of crashing the process. Your LangChain agent catches this exception and can route the workflow to a manual review channel.
Your queries containing RFC, CURP, and corporate registry data run inside Vinkius's isolated sandboxes and never persist on our servers. The MCP Server acts as an ephemeral bridge, transmitting the payload directly to Mexican verification endpoints and discarding it immediately after.

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