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

Q: What datasets can I use with AutoGen and UK ONS Full — Complete Statistical Intelligence?

You have access to everything from quarterly regional GDP (getgdp) to detailed local authority well-being metrics (getwellbeinglocal). The breadth of the server supports varied discussions.

Achieve consensus on complex data with AutoGen using UK ONS Full — Complete Statistical Intelligence.

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Connect UK ONS Full — Complete Statistical Intelligence MCP to AutoGen

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

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Perplexity

Debating Economic Theories via MCP Server

You set up competing agents—maybe a 'Finance Agent' and an 'Environment Agent.' They can debate the implications of different data points. One agent queries `get_cpih` for inflation rates, while another uses `get_trade` to check commodity imports. The resulting deliberation helps you converge on a decision that accounts for multiple conflicting data perspectives.

Multi-Agent Analysis of UK ONS Data

Multiple agents can work together without overlap. One agent focuses solely on population dynamics using `get_population_projections`, while another monitors social health via `get_wellbeing`. They challenge each other's assumptions about demographic shifts. This structured debate process is perfect for answering 'Why?' questions that require multiple data sources.

Building a System with AutoGen and MCP Server

The setup lets you easily pass the full list of 20 tools to your AssistantAgent. This means the system can self-correct: if the initial tool call fails, a secondary agent can suggest an alternative path using `search_datasets`. It's about building systems that adapt and reason through ambiguity, rather than just executing single commands.

Setup guide

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

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes UK ONS Full — Complete Statistical Intelligence tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="UK ONS Full — Complete Statistical Intelligence_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent UK ONS Full — Complete Statistical Intelligence data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="UK ONS Full — Complete Statistical Intelligence_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent UK ONS Full — Complete Statistical Intelligence data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

The server provides the raw data inputs for your agents to debate. You can challenge assumptions by having one agent query `get_gdp` and another immediately check against regional spending using `get_spending_cards`.

Yes. The MCP Server's tools are designed to be passed into the AssistantAgent constructor, making them available for consensus-driven decision making among your agents.

You have access to everything from quarterly regional GDP (`get_gdp`) to detailed local authority well-being metrics (`get_wellbeing_local`). The breadth of the server supports varied discussions.

It is. The tool list conversion handles schema automatically, allowing you to pass all 20 tools directly into your multi-agent system.

The server only provides aggregated economic statistics. It doesn't deal with private records; you're working with national and regional metrics like trade volumes or inflation rates.

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