Macro data for AI agents: GDP, inflation, unemployment and more (World Bank, US BLS). No keys.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Remote HTTPChoose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Capabilities & Tool Schemas (5)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Economy Intel MCP.
country_indicatorAn indicator (GDP, inflation, unemployment, population, ...) for a country over recent years
country_profileA snapshot of a country's key macro indicators, latest values
compare_countriesRank one indicator across several countries
us_seriesKey US time series: unemployment, CPI, nonfarm payrolls, participation, earnings
list_indicatorsDiscover every indicator and series this server supports
Documentation Overview
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 |
|---|---|---|
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
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:
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.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
Last commit
2d ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.
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Frequently Asked Questions about Economy Intel MCP
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