Economy Intel MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Economy Intel MCPWhat's the latest unemployment rate in Spain?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Economy Intel MCP — by Datakoot
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 |
| An indicator (GDP, inflation, unemployment, population, ...) for a country over recent years | World Bank |
| A snapshot of a country's key macro indicators, latest values | World Bank |
| Rank one indicator across several countries | World Bank |
| Key US time series: unemployment, CPI, nonfarm payrolls, participation, earnings | US BLS |
| Discover every indicator and series this server supports | — |
No API keys required.
Related MCP server: MacroOracle
Quick start
claude mcp add --transport http economy-intel https://economy.datakoot.com/mcpOr 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 cpiData & 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.
This server cannot be deployed
Maintenance
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