DATA & AI SOLUTIONS

MCP (Model Context Protocol)

An open standard that enables AI assistants and large language models to query external data sources and tools in real time.

What happens to German GDP if US tariffs on EU goods rise to 25%?

German growth slows to 0.5% in 2027, 0.8 points below our baseline.

MCP

Global Databank
Country Economic Forecasts
Research library

Illustrative example.

MCP in action

Discover how Oxford Economics’ MCP server delivers trusted economic intelligence directly into your AI tools and enterprise workflows.

Oxford Economics, one question away

Ask about the economy the way you would ask a colleague. Your AI finds the right OE data, forecasts and research, and replies in plain language. You can ask follow-up questions to test assumptions, compare countries or dig into the numbers behind a forecast. You don’t need to know variable codes, databank menus or which report to open.

Instant answers: ask about any country, sector or indicator and get a sourced reply in seconds
Follow-up questions: refine, compare and challenge the answer in the same conversation, with the context kept
No specialist skills needed: anyone on your team can use OE data and research without training in our tools

Compatible With

Claude

ChatGPT

Gemini

Cursor

Perplexity

Microsoft Copilot

Internal LLMs

Oxford Economics, built into the way your teams work

Turn long manual research tasks into a single prompt. Your AI can pull OE forecasts, country commentary and scenario context straight into briefings, presentations and recurring reports. It can also bring findings from several OE publications together into one sourced answer. And it can track newly published research for your sectors and regions, flagging what matters as it’s released.

Briefing prep: draft sourced briefs and presentations in minutes
Automated reporting: regular macro dashboards and sector updates, built from the latest OE data
Live monitoring: new OE research for your sector and geography, summarised when it’s published

Compatible With

Claude

ChatGPT

Gemini

Cursor

Perplexity

Microsoft Copilot

Internal LLMs

capex-case-refresh

· Designer

Running Paused

Recurrence

Trigger · monthly, ahead of board submission

Succeeded
Oxford Economics — EconomicAnalysis

published reports · German industrial production

Succeeded
Oxford Economics — EconomicData

databank series · DEU industrial production · 2026-2028

Succeeded
Join to your capex case

oe_forecast ⋅ capex_assumptions

Succeeded
Publish capex case pack

Comparison table, chart and sources — and a variance alert

Succeeded

Your environment · request composed

Step 1 / 5

The question, in full

“We’re finalising the 2027 capex case for our European plants. What does Oxford Economics expect for German industrial production, and how far is that from the assumption in our board pack?”

Your agent may use the full wording, the surrounding conversation, internal documents and business context to interpret the request.

Stays with you

Original prompt wording
Wider conversation and reasoning
Internal documents, assumptions and source systems
Credentials, access tokens and other internal data

Intent extracted — only the minimum structured request is sent onward

MCP call · EconomicAnalysis

Azure · UK region

Step 2 / 5

What Oxford Economics receives

POST mcp://oxford-economics/EconomicAnalysis
{
"conversationId": "7f1c2070-8bd4-4e91-82c6-5d7e9fb01a23",
"language": "en",
"question": "What is the industrial production growth forecast for Germany?"
}

Published content returned

200 OK

[Report title] Research briefing [DD MMM YYYY]
[Report title] Country forecast [DD MMM YYYY]
[Report title] Sector analysis [DD MMM YYYY]

Not your wider conversation, your documents, or the reason behind the request

MCP call · EconomicData

Azure · UK region

Step 3 / 5

Structured parameters resolved

POST mcp://oxford-economics/EconomicData
{
"conversationId": "7f1c2070-8bd4-4e91-82c6-5d7e9fb01a23",
"language": "en",
"question": "What is the industrial production growth forecast for Germany?"
}

Series returned

200 OK

Country	Series	Period	Growth %
DEU	IND_PROD	2026	[X.X]
DEU	IND_PROD	2027	[X.X]
DEU	IND_PROD	2028	[X.X]
FRA	IND_PROD	2027	[X.X]
ITA	IND_PROD	2027	[X.X]

Returned against vintage [YYYY‑MM‑DD] — every value carries its series code

Your warehouse · join and merge

Step 4 / 5

OE forecast joined to your capex assumptions

MERGE INTO analytics.capex_case_2027 AS t
USING (SELECT o.country, o.period, o.value AS oe_forecast,
a.value AS assumption, o.value - a.value AS variance
FROM stg.oe_mcp_load o JOIN dim.capex_assumptions a
USING (country, period)) AS s
ON t.country = s.country AND t.period = s.period
WHEN MATCHED THEN UPDATE SET oe_forecast = s.oe_forecast, variance = s.variance;

Rows upserted to analytics.capex_case_2027
Vintage stamped — the run is reproducible exactly as it stood
Lineage written to the catalogue, back to report and series

Feeds

Capex model

Board pack

Variance alert

2027 capex case · European plants

Generated automatically

German industrial production: Oxford Economics against our board pack assumption

Oxford Economics published research and databank forecasts, 2026–2028 · compared with the assumption in the current capex case

v. [YYYY‑MM‑DD]

Plant country	OE 2027	Our case
Germany	[X.X]	[X.X]
France	[X.X]	[X.X]
Italy	[X.X]	[X.X]
Spain	[X.X]	[X.X]
Poland	[X.X]	[X.X]
Czechia	[X.X]	[X.X]

German industrial production · growth %

OE 2027 forecast

[X.X]%

Gap to our case

[X.X]pp

The Oxford Economics outlook for German industrial production runs above the growth assumed in the current 2027 capex case, with the gap widening across the horizon. Published research sets out the drivers behind the path; the assumption comparison is computed in our own warehouse. Recommendation: re‑run the European capex case on the Oxford Economics path before board submission.

Variance flagged to the capex review

Getting started

Get up and running with Oxford Economics’ MCP in three simple steps and start unlocking the value of our economic intelligence in your AI tools.

Discovery call

Your Oxford Economics account team maps your AI stack, platform setup and subscription to confirm scope and access.

Proof of concept

The integration running live in your environment, typically within days. Test it against your real use cases before committing.

Production deployment

Full rollout with your subscription data. All licensed content and databanks accessible via natural language across your AI tools.

Speak to our team

Learn more about MCP, discuss your use cases and see how Oxford Economics can unlock the power of our economic intelligence in your AI environment.

Expert guidance from our team

Tailored to your organisation’s needs

No complex setup or custom code required

What your AI gets access to

All content available on your subscription — plus the Global Economic Databank and Global Industry datasets.

Global Economic Databank (GED)

Macro indicators across 200+ countries: GDP, inflation, trade, labour markets, monetary policy, and more.

Global Industry Service

Output, value-added, and trade data for 80+ sectors across 70+ countries.

Country Economic Forecasts

Oxford Economics’ proprietary forecasts with scenario analysis and risk assessments.

Research & Commentary

Economist and strategist briefings, thematic reports, and real-time analysis from our global team.

Custom & Subscription Data

All research content included in your organisation’s subscription, accessible via natural language.

City & Sub-National Data

Granular economic data at city and regional level for location strategy and planning.

Built with economists, not just connected to data

The Oxford Economics MCP draws on capabilities developed for AskOE over the past three years. Our economists have reviewed and refined how the system answers economic questions, optimising answers and reliability.

Economist-informed answers

Our economists have tested and refined responses to improve how economic data is interpreted and explained.

Context behind the forecast

Responses can draw on Oxford Economics research and analysis to explain the drivers behind the numbers.

Connected to our intelligence

Compatible AI tools can request relevant forecasts, data and research through the Oxford Economics MCP.

Useful in your own workflow

Bring that intelligence into the AI tools your teams already use, with links to underlying sources where supported.

Your AI tool

Claude, ChatGPT, Copilot, Gemini

Oxford Economics intelligence

Economist-refined, built on AskOE

OE data and research

Forecasts, databank and reports

Data security

Your AI agent sends us only the question it needs answered. Everything else stays with you.

Your environment

You ask in full

“We’re finalising the 2027 capex case for our European plants. What does Oxford Economics expect for German industrial production?”

Stays with you

Your prompt and conversation
Your documents and assumptions
Your credentials and internal data

MCP query

Only this is sent

What is the industrial production growth forecast for Germany?

Your AI agent turns your question into a short structured request: the core question, a language code and a conversation ID.

Oxford Economics

We answer it

Hosted on Microsoft Azure in the UK region.

We use the request to

Find the relevant reports and data
Return the answer to your AI agent

We never see your wider conversation, documents or the reason behind your question.

Contact us

Whether you are exploring AI integration, data delivery or AskOE^AI for your organisation, we would love to hear from you. Fill in the form and a member of our team will be in touch to discuss how Oxford Economics can work for you.

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