How many datasets does the ONS have?

The ONS API currently exposes 337+ datasets covering economy, population, health, trade, business, census, well-being, and more. New datasets are added regularly as part of the ONS Beta programme.

What format does the data come in?

The API provides programmatic access to statistical observations in JSON format. It uses a hypermedia-driven architecture, nesting dimension links, options, and hierarchy information within the responses.

Is the API free to use?

Yes, the ONS Developer API is completely free and open, requiring no authentication or API keys, allowing developers unrestricted access to UK national statistics.

UK ONS Discovery — Search 337+ Statistical Datasets MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: UK ONS Discovery — Search 337+ Statistical Datasets
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect UK ONS Discovery — Search 337+ Statistical Datasets through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to UK ONS Discovery — Search 337+ Statistical Datasets "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in UK ONS Discovery — Search 337+ Statistical Datasets?"
    )
    print(result.data)

asyncio.run(main())

UK ONS Discovery — Search 337+ Statistical Datasets

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About UK ONS Discovery — Search 337+ Statistical Datasets MCP Server

Full access to the ONS dataset catalog with discovery and query tools.

Pydantic AI validates every UK ONS Discovery — Search 337+ Statistical Datasets tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Search — Find datasets by keyword
Browse — Paginated catalog access
Metadata — Dataset details, methodology, contacts
Dimensions — Available filter variables
Options — Valid values for each dimension
Query — Flexible observations with dimension filters

The UK ONS Discovery — Search 337+ Statistical Datasets MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect UK ONS Discovery — Search 337+ Statistical Datasets to Pydantic AI via MCP

Follow these steps to integrate the UK ONS Discovery — Search 337+ Statistical Datasets MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from UK ONS Discovery — Search 337+ Statistical Datasets with type-safe schemas

Why Use Pydantic AI with the UK ONS Discovery — Search 337+ Statistical Datasets MCP Server

Pydantic AI provides unique advantages when paired with UK ONS Discovery — Search 337+ Statistical Datasets through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your UK ONS Discovery — Search 337+ Statistical Datasets integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your UK ONS Discovery — Search 337+ Statistical Datasets connection logic from agent behavior for testable, maintainable code

UK ONS Discovery — Search 337+ Statistical Datasets + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the UK ONS Discovery — Search 337+ Statistical Datasets MCP Server delivers measurable value.

Type-safe data pipelines: query UK ONS Discovery — Search 337+ Statistical Datasets with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple UK ONS Discovery — Search 337+ Statistical Datasets tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query UK ONS Discovery — Search 337+ Statistical Datasets and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock UK ONS Discovery — Search 337+ Statistical Datasets responses and write comprehensive agent tests

UK ONS Discovery — Search 337+ Statistical Datasets MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect UK ONS Discovery — Search 337+ Statistical Datasets to Pydantic AI via MCP:

get_dataset_info

Get metadata for an ONS dataset: dimensions, editions, versions

get_dimension_options

g., all geography codes, all time periods, all aggregate categories). Use this to find the correct filter values for observations. Get all option values for a specific dimension in an ONS dataset

get_dimensions

Each dimension has options you can use to filter observations. Essential for understanding what query parameters to use. Get available dimensions and filter options for an ONS dataset

get_observations

Provide dataset ID and dimension filters. Use search_datasets to find IDs and get_dimensions to discover available filters. Set time=* for full time series. Query any ONS dataset by ID with flexible dimension filters

list_datasets

The catalog contains 337+ datasets covering economy, population, health, trade, business, and more. Browse the complete ONS dataset catalog with pagination

search_datasets

Returns matching dataset IDs, titles, and descriptions. Use this to find the right dataset before querying data. Search ONS datasets by keyword — explore 337+ available datasets

Example Prompts for UK ONS Discovery — Search 337+ Statistical Datasets in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with UK ONS Discovery — Search 337+ Statistical Datasets immediately.

"What ONS datasets are available about housing?"

"Can you list the variables (dimensions) available for the house-prices dataset?"

"What is the latest data on the UK employment rate?"

Troubleshooting UK ONS Discovery — Search 337+ Statistical Datasets MCP Server with Pydantic AI

Common issues when connecting UK ONS Discovery — Search 337+ Statistical Datasets to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

UK ONS Discovery — Search 337+ Statistical Datasets + Pydantic AI FAQ

Common questions about integrating UK ONS Discovery — Search 337+ Statistical Datasets MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your UK ONS Discovery — Search 337+ Statistical Datasets MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.