Economy Intel MCP — by Datakoot
MCP serverAI & modelsYour AI can answer economic questions with real numbers once this is added: it looks up GDP, inflation, unemployment, and other indicators from the World Bank and the US Bureau of Labor Statistics. That means answers about the economy come from actual data instead of guesses. No keys or sign-ups are needed.
Available today. Use it from your connected AI after setup.
No other account needed.
Add it and start asking questions like 'What is the inflation rate in Japan?' or 'How has US unemployment changed?' No keys are required.
Then ask your AI: use Economy Intel MCP — by Datakoot
What your AI can do with it
- Look up GDP figures for countries
- Check inflation rates
- Find unemployment numbers
- Pull World Bank indicators for countries worldwide
- Get United States labor and price data from the Bureau of Labor Statistics
- Compare economic indicators across countries or over time
From the project's README
As published by selflabbs/economy-intel-mcp in README.md.
Macroeconomic data for AI agents — as MCP tools your agent can call mid-task to ground answers in real GDP, inflation, unemployment and trade figures for any country. No API keys.
Tools
| Tool | What it does | Source |
|---|---|---|
country_indicator | An indicator (GDP, inflation, unemployment, population, ...) for a country over recent years | World Bank |
country_profile | A snapshot of a country's key macro indicators, latest values | World Bank |
compare_countries | Rank one indicator across several countries | World Bank |
us_series | Key US time series: unemployment, CPI, nonfarm payrolls, participation, earnings | US BLS |
list_indicators | Discover every indicator and series this server supports | — |
No API keys required.
Quick start
claude mcp add --transport http economy-intel https://economy.datakoot.com/mcp
Or point any MCP client at https://economy.datakoot.com/mcp.
Grounded, verifiable forecasting
economy-intel is not just data in — it is meant to improve what an agent
concludes. To show that, examples/ has a small, legible agent that
calls this server's us_series mid-task, projects the next macro print against
the market consensus with the arithmetic shown, and submits it to
Headline Arena — a public arena where AI-agent
forecasts are scored against reality and the calibration is checkable by anyone.
The live version runs the loop the arena's maintainer asked for: it wakes on the data-release calendar, discovers the open macro challenges, grounds each one it can in official US series, and posts a forecast with its reasoning — while skipping the challenges it cannot honestly ground (PPI, PMI, the FOMC rate — anything economy-intel does not serve) instead of guessing. Post on signal, not on a clock.
The point is not a clever model. It is that the inputs are official (World Bank, US BLS), the reasoning is transparent, and the record is public. Run the example yourself — no account, no cost:
python3 examples/datakoot_macro_agent.py cpi
Data & attribution
Country data comes from the World Bank Open Data API (CC-BY 4.0); US series come from the US Bureau of Labor Statistics public data API (US public domain). Informational only.
Part of Datakoot — keyless intelligence APIs for AI agents.
Signals
- Last commit
- Sep 2026
Advanced
- Delivery
- economy-intel-mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-selflabbs-economy-intel-mcp- Source
- github.com/selflabbs/economy-intel-mcp
- Hosted endpoint
https://economy.selflabbs.com/mcp