Economy Intel MCP
Macro data for AI agents: GDP, inflation, unemployment and more (World Bank, US BLS). No keys.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案:
{
"mcpServers": {
"economy-gdp-inflation-unemployment": {
"url": "https://economy.datakoot.com/mcp"
}
}
}遠端端點
https://economy.datakoot.com/mcpstreamable-http它能做什麼
工具清單
工具(5)
🟢country_indicator(country, indicator, years)
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.
輸入結構描述
{
"type": "object",
"properties": {
"country": {
"type": "string",
"description": "Country as an ISO code or name, e.g. US, USA, or United States."
},
"indicator": {
"type": "string",
"description": "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."
},
"years": {
"type": "integer",
"default": 12,
"description": "How many of the most recent years to return."
}
},
"required": [
"country",
"indicator"
]
}🟢country_profile(country)
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.
輸入結構描述
{
"type": "object",
"properties": {
"country": {
"type": "string",
"description": "Country as an ISO code or name, e.g. US, USA, or United States."
}
},
"required": [
"country"
]
}⚪compare_countries(countries, indicator)
Compare one indicator across several countries (latest available value each). Good for ranking or benchmarking economies.
輸入結構描述
{
"type": "object",
"properties": {
"countries": {
"type": "array",
"items": {
"type": "string"
},
"description": "Array of country codes or names to compare, e.g. [\"US\", \"DE\", \"JP\"]."
},
"indicator": {
"type": "string",
"description": "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."
}
},
"required": [
"countries",
"indicator"
]
}🟢us_series(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.
輸入結構描述
{
"type": "object",
"properties": {
"series": {
"type": "string",
"description": "A US series key: us_unemployment_rate, us_cpi, us_nonfarm_payrolls, us_labor_participation, us_avg_hourly_earnings, us_ppi (BLS), or us_retail_sales (US Census). These are cached by Datakoot and kept current. A raw BLS series ID is also accepted, but uncached series often hit BLS rate limits."
}
},
"required": [
"series"
]
}🟢list_indicators
List the indicators this server supports (World Bank + US BLS), with descriptions. Call this to discover what you can query.
輸入結構描述
{
"type": "object",
"properties": {}
}社群
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