About Economy Intel MCP
Economy Intel MCP gives AI agents access to official macroeconomic indicators from the World Bank and US BLS. It supports country-level queries and US time-series analysis without API keys.
Key features
- 01Country indicator history
- 02Latest country macro profile
- 03Cross-country indicator ranking
- 04US labor and CPI series
- 05Supported-series discovery
Use cases
- 01Ground an economic answer in published data
- 02Compare an indicator across countries
- 03Review US employment and inflation series
MCP support
It exposes five macroeconomic data tools to MCP clients, covering World Bank country data and US BLS series. No API key is required.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://economy.datakoot.com/mcpclaude mcp add --transport http com-datakoot-economy-gdp-inflation-unemployment https://economy.datakoot.com/mcp{"mcpServers":{"com-datakoot-economy-gdp-inflation-unemployment":{"type":"http","url":"https://economy.datakoot.com/mcp"}}}Open in Cursor{"servers":{"com-datakoot-economy-gdp-inflation-unemployment":{"type":"http","url":"https://economy.datakoot.com/mcp"}}}Open in VS Code{"mcpServers":{"com-datakoot-economy-gdp-inflation-unemployment":{"type":"http","url":"https://economy.datakoot.com/mcp"}}}{"mcpServers":{"com-datakoot-economy-gdp-inflation-unemployment":{"serverUrl":"https://economy.datakoot.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
5| Parameter | Type | Required | Description |
|---|---|---|---|
| years | integer | No | How many of the most recent years to return. |
| country | string | Yes | Country as an ISO code or name, e.g. JP, JPN, or Japan. |
| indicator | string | Yes | World Bank indicator key: gdp, gdp_per_capita, gdp_growth, inflation, population, unemployment, life_expectancy, exports, imports, govt_debt_pct_gdp, real_interest_rate, fdi, co2_per_capita, internet_users. Call list_indicators for the full set. Raw World Bank codes are also accepted. |
Details
From the project READMEEconomy 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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.