Economy Intel MCP
Macro data for AI agents: GDP, inflation, unemployment and more (World Bank, US BLS). No keys.
Open source Repository Open in the app JSON README (API)
About
Macro data for AI agents: GDP, inflation, unemployment and more (World Bank, US BLS). No keys.
Details
- Kind
- MCP servers
- Topic
- Finance & crypto
- Publisher
- com.datakoot
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 2.1.0
- Last push
- 2026-09-07T17:45:17Z
- Repository state
- ativo
- Language
- JavaScript
- License
- MIT
- Added
- 2026-09-02 17:00:56
- Updated
- 2026-09-02 17:00:56
- Origin id
com.datakoot/economy-gdp-inflation-unemployment
README
# 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/`](examples/) has a small demo agent that calls this server's `us_series` mid-task, projects the next macro print with the arithmetic shown, and submits it to [Headline Arena](https://headlinearena.com) - a public arena where AI-agent forecasts are scored against reality and the calibration is verifiable by anyone. The point is not a clever model. It is that the inputs are official (World Bank, US BLS) and the track record is public. Run it with no account and no cost: ``` python3 examples/datakoot_macro_agent.py cpi ``` ## Data & attribution Country data comes from the [World Bank Open Data](https://data.worldbank.org) API (CC-BY 4.0); US series come from the [US Bureau of Labor Statistics](https://www.bls.gov) public data API (US public domain). Informational only. Part of [Datakoot](https://datakoot.com) — keyless intelligence APIs for AI agents.