com.datakoot由 datakoot.com 發布官方發布者v2.1.0更新於 Oct 24, 2026
Macro data for AI agents: GDP, inflation, unemployment and more (World Bank, US BLS). No keys.
發布方自己的服務：Base Intel MCP
遠端 MCP 伺服器，讓助理免金鑰取得世界銀行與美國 BLS 的總體經濟資料：GDP、通膨、失業率、貿易等。
Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.datakoot%2Feconomy-gdp-inflation-unemployment/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"economy-intel": {
"type": "http",
"url": "https://economy.datakoot.com/mcp"
}
}
}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.
No API keys required.
Or point any MCP client at https://economy.datakoot.com/mcp.
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:
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.
來源：README.md，提交 fe6fe0e
Country Indicator
Get a macroeconomic indicator for a country over recent years (World Bank). Indicators: gdp, gdp_per_capita, gdp_growth, inflation, unemployment, population, life_expectancy, exports, imports, govt_debt_pct_gdp, real_interest_rate, fdi, co2_per_capita, internet_users. Country accepts an ISO code (US, DE, JP) or a World Bank country code. You may also pass a raw World Bank indicator code.
yearscountry必填indicator必填Country Profile
Get a snapshot of a country's key macro indicators (latest available values): GDP, GDP per capita, GDP growth, inflation, unemployment, and population. Country accepts an ISO code.
country必填Compare Countries
Compare one indicator across several countries (latest available value each). Good for ranking or benchmarking economies.
countries必填indicator必填US Series
Get a key US economic time series. From the Bureau of Labor Statistics: us_unemployment_rate, us_cpi, us_nonfarm_payrolls, us_labor_participation, us_avg_hourly_earnings, us_ppi. From the US Census Bureau: us_retail_sales (advance retail & food services, seasonally adjusted). The BLS series are kept warm by Datakoot and always available. A raw BLS series ID is also accepted, but BLS rate-limits by client IP and Datakoot runs on shared edge IPs, so an uncached series may return an upstream-limit error instead of data; that error means the upstream refused, not that the series does not exist.
series必填List Indicators
List the indicators this server supports (World Bank + US BLS), with descriptions. Call this to discover what you can query.
無需輸入參數。
已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
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claude mcp add --transport http economy-intel https://economy.datakoot.com/mcppython3 examples/datakoot_macro_agent.py cpi