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

Q: How does Pydantic AI help structure UK ONS Trade — International Trade & Business Activity?

Pydantic enforces type safety on the MCP response. If getbusinesscounts returns a count that isn't an integer, your agent fails immediately with a validation error. This prevents silent data corruption.

Ensure accuracy when processing UK ONS Trade data with Pydantic AI.

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Connect UK ONS Trade — International Trade & Business Activity MCP to Pydantic AI

Create your Vinkius account to connect UK ONS Trade — International Trade & Business Activity to Pydantic AI 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 UK ONS Trade — International Trade & Business Activity with Pydantic AI

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Perplexity

Validate business counts with Pydantic AI.

The `get_business_counts` tool provides official UK business totals by industry and local unit, sourced from the IDBR. Your agent uses this data to structure clean records. The biggest benefit is that if the underlying API sends unexpected fields, your process fails loudly with a Pydantic validation error—you never get corrupted results.

Process trade metrics using Pydantic AI.

Use `get_trade` to pull UK goods trade data. This covers imports, exports, and the balance by country and commodity in £ million. The toolset ensures that when your agent receives this complex financial data, it validates all expected fields like 'commodity' or 'partner country,' keeping your output clean.

Handle traffic activity with Pydantic AI.

The `get_traffic_activity` tool gives experimental economic indicators. This dataset measures social and economic shifts via camera data. By validating the output, Pydantic guarantees that even when dealing with newer or less structured indicator data, your agent's model receives predictable information.

Setup guide

Set up UK ONS Trade — International Trade & Business Activity MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "uk-ons-trade-international-trade-business-activity-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to UK ONS Trade — International Trade & Business Activity tools.",
)

result = await agent.run("List recent UK ONS Trade — International Trade & Business Activity transactions")
print(result.output)

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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 Pydantic AI

Pydantic enforces type safety on the MCP response. If `get_business_counts` returns a count that isn't an integer, your agent fails immediately with a validation error. This prevents silent data corruption.

You can chain tool calls within the agent, and Pydantic validates the output of each step. For instance, if you run `get_trade` first, its structured result confirms data types before that information is used in subsequent analysis.

Absolutely. The framework validates the response against your defined models at runtime. This means you know that every single piece of data returned from `get_trade` has the structure and type you expect.

The unified approach means that regardless of which model (Anthropic, OpenAI) your agent uses, the data coming back from the MCP Server is always validated against your defined schema first. It's consistent.

This server touches business counts and trade values. Since the tools process aggregated data by commodity or country, there is no risk to private individual details.

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