How to Use the UK ONS Full — Complete Statistical Intelligence MCP in LlamaIndex

Q: Is LlamaIndex compatible with the MCP Server?

It is. You use BasicMCPClient to connect, and then pass the resulting tool specifications to your FunctionAgent for building robust RAG applications.

Index and search ONS data with LlamaIndex using UK ONS Full — Complete Statistical Intelligence.

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Connect UK ONS Full — Complete Statistical Intelligence MCP to LlamaIndex

Create your Vinkius account to connect UK ONS Full — Complete Statistical Intelligence to LlamaIndex 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 Full — Complete Statistical Intelligence with LlamaIndex

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Indexing Economic Data for LlamaIndex

LlamaIndex indexes the results from the MCP Server into a searchable knowledge base. Say you run `get_retail_sales` today, and next week you ask about consumer trends, your agent can ground the answer in that live API data—not just hallucinate it. The output of any tool becomes part of a unified index. This means querying past sessions or configurations using specific ONS metrics is straightforward.

Querying Multi-faceted Datasets via MCP Server

You can combine disparate data sources into one queryable index. For example, you might search for the correlation between `get_wellbeing` scores and local trade figures (`get_trade`). The index handles the complexity of combining these different dataset types. This approach moves beyond single API calls; it builds a deep knowledge graph from structured ONS data.

Automating Data Discovery with LlamaIndex

Finding the right filter is often the hardest part. With `get_dimensions`, you get all available options for any given dataset ID, like geography or time period. LlamaIndex incorporates this discovery process into your knowledge base. The system learns what filters are valid before it even attempts to run a query against tools like `get_observations`.

Setup guide

Set up UK ONS Full — Complete Statistical Intelligence MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all UK ONS Full — Complete Statistical Intelligence MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to UK ONS Full — Complete Statistical Intelligence tools.",
)
response = await agent.run("List recent UK ONS Full — Complete Statistical Intelligence data")

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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 Full — Complete Statistical Intelligence MCP in LlamaIndex

LlamaIndex indexes the raw data output from the MCP Server. This means you can semantically search through years of CPIH or GDP records, making historical analysis much easier than traditional database lookups.

Yes. The framework is built to take structured API data and convert it into a vector store, making the 337+ ONS datasets immediately useful for RAG applications.

You can combine live API data—like weekly card spending from `get_spending_cards`—with historical datasets like population projections. The index helps you find patterns across these diverse economic indicators.

It is. You use `BasicMCPClient` to connect, and then pass the resulting tool specifications to your FunctionAgent for building robust RAG applications.

The server touches aggregated economic statistics, such as household income and regional well-being estimates. All data is already anonymized by the ONS.

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