Economy Intel MCP
Macro data for AI agents: GDP, inflation, unemployment and more (World Bank, US BLS). No keys.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http economy-intel-mcp 'https://economy.selflabbs.com/mcp'
{
"mcpServers": {
"economy-intel-mcp": {
"type": "http",
"url": "https://economy.selflabbs.com/mcp"
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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
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.
Frequently asked questions
What is Economy Intel MCP?
Macro data for AI agents: GDP, inflation, unemployment and more (World Bank, US BLS). No keys.
How do I install Economy Intel MCP?
It runs as a remote server. In Claude Code: claude mcp add --transport http economy-intel-mcp 'https://economy.selflabbs.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Economy Intel MCP need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is Economy Intel MCP open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Economy Intel MCP?
It is published by selflabbs. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.