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How to Use the UK ONS Trade — International Trade & Business Activity MCP in LangChain

Build multi-step economic analysis pipelines with LangChain using UK ONS Trade data.

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Connect UK ONS Trade — International Trade & Business Activity MCP to LangChain

Create your Vinkius account to connect UK ONS Trade — International Trade & Business Activity 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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Combine business and trade data in a chain.

Your agent can build complex reasoning chains that connect different types of economic indicators. For example, it gets the latest `get_business_counts` for a specific sector, then uses that result to narrow down which country's trade data from `get_trade` is most relevant. This multi-step approach lets you write pipelines where the output of one call—like identifying a key industrial area—becomes the input for the next. You don't just get isolated metrics; you build an argument using tools like `get_traffic_activity` to ground your findings.

Automate market monitoring with MCP Server.

You can set up agents that continuously check UK economic health by chaining together different sources. One step might call `get_trade` to pull goods movement data for a specific commodity, and the next might check local activity using `get_traffic_activity`. This gives you full observability into how interconnected metrics behave over time. You're not just pulling raw numbers; you're running an automated diagnostic on the UK economy.

Run sequential analysis across all tools.

When analyzing market shifts, the order matters, and LangChain handles that sequencing perfectly. Start by checking business concentrations with `get_business_counts`. Next, you can cross-reference those areas against goods movement using `get_trade`. The final step is often validating the trend using real-time proxies; calling `get_traffic_activity` provides a quick check on current social and economic momentum that complements the historical data.

Setup guide

Set up UK ONS Trade — International Trade & Business Activity 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 UK ONS Trade — International Trade & Business Activity 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({
    "uk-ons-trade-international-trade-business-activity-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 UK ONS Trade — International Trade & Business Activity 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 UK ONS. 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 UK ONS Trade — International Trade & Business Activity MCP in LangChain

LangChain lets you build multi-step reasoning around this data. You can write a chain that first determines a target industry using `get_business_counts`, then fetches all relevant trade partners via `get_trade`, and finally scores the overall potential using `get_traffic_activity`.
Absolutely. Since you're building chains, you can pass outputs from one tool (say, a list of high-growth sectors) directly into another tool's parameters, like filtering `get_trade` results by those specific sectors.
Start by letting your agent decide which tools to call. You can chain together `get_business_counts`, `get_trade`, and `get_traffic_activity` in an optimal sequence that answers a complex, multi-faceted question about the UK market.
Yes. It's designed for aggregation. You can combine historical goods trade from `get_trade` with current business counts and traffic indicators all within a single, traceable workflow.
This server touches aggregated economic metrics. Since the tools provide macro-level counts and trade values (e.g., `get_business_counts`, `get_trade`), you aren't handling PII, so the privacy risk is low.

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