US Macroeconomic Data

US macroeconomic data: inflation, jobs, GDP, energy, and Treasury yields

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质量与安全性

A
描述质量
100%
模式完整度
90%
命名质量
100%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~791token 数(工具定义)
~819 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.62%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "econ": {
      "url": "https://econ.memoryapi.org/mcp"
    }
  }
}

远程端点

https://econ.memoryapi.org/mcpstreamable-http

它能做什么

工具清单

工具(7)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢get_inflation(series, months)

Get U.S. CPI inflation data from the Bureau of Labor Statistics. Returns latest value, YoY change, and MoM change.

输入模式

{
  "type": "object",
  "properties": {
    "series": {
      "type": "string",
      "description": "all_items (default), core (ex food/energy), food, energy, shelter, medical",
      "default": "all_items"
    },
    "months": {
      "type": "number",
      "description": "Months of history (default 13)",
      "default": 13
    }
  }
}
🟢get_jobs(series, months)

Get U.S. labor market data from BLS. Unemployment rate, nonfarm payrolls, job openings, and wages.

输入模式

{
  "type": "object",
  "properties": {
    "series": {
      "type": "string",
      "description": "unemployment_rate (default), nonfarm_payrolls, job_openings, avg_hourly_earnings, labor_force_participation",
      "default": "unemployment_rate"
    },
    "months": {
      "type": "number",
      "description": "Months of history",
      "default": 13
    }
  }
}
🟢get_macro(series, limit)

Get macroeconomic indicators from FRED (Federal Reserve). GDP, Fed funds rate, Treasury yields, housing starts, retail sales.

输入模式

{
  "type": "object",
  "properties": {
    "series": {
      "type": "string",
      "description": "gdp, fed_funds_rate (default), treasury_10y, treasury_2y, yield_curve, housing_starts, retail_sales, consumer_sentiment",
      "default": "fed_funds_rate"
    },
    "limit": {
      "type": "number",
      "description": "Data points to return",
      "default": 12
    }
  }
}
🟢get_energy(series, limit)

Get energy prices from the U.S. Energy Information Administration. WTI crude, Brent crude, natural gas.

输入模式

{
  "type": "object",
  "properties": {
    "series": {
      "type": "string",
      "description": "wti_crude (default), brent_crude, natural_gas",
      "default": "wti_crude"
    },
    "limit": {
      "type": "number",
      "description": "Weekly data points",
      "default": 12
    }
  }
}
🟢get_treasury(series, limit)

Get U.S. national debt (daily, to the penny) and average interest rates on Treasury securities from the U.S. Treasury.

输入模式

{
  "type": "object",
  "properties": {
    "series": {
      "type": "string",
      "description": "debt (national debt, default) or interest_rates",
      "default": "debt"
    },
    "limit": {
      "type": "number",
      "description": "Number of records",
      "default": 10
    }
  }
}
🟢get_demographics(state, level)

Get U.S. Census demographic data by state or county. Population, median income, poverty rate, unemployment, home values, and education level.

输入模式

{
  "type": "object",
  "properties": {
    "state": {
      "type": "string",
      "description": "2-letter state code (CA, TX, NY). Omit for all states."
    },
    "level": {
      "type": "string",
      "description": "state (default) or county",
      "default": "state"
    }
  }
}
🟢get_business_patterns(naics, state, year)

U.S. County Business Patterns — number of businesses (establishments), employees, and payroll by industry (NAICS code) and state. Answers: How many tech companies in California? Total healthcare employees in Texas?

输入模式

{
  "type": "object",
  "properties": {
    "naics": {
      "type": "string",
      "description": "NAICS industry code: 51=Tech/Info, 52=Finance, 53=Real Estate, 54=Professional Services, 62=Healthcare, 23=Construction, 44=Retail, 72=Food/Hospitality",
      "default": "51"
    },
    "state": {
      "type": "string",
      "description": "2-letter state code (CA, TX, NY). Omit for all states."
    },
    "year": {
      "type": "string",
      "description": "Data year (default: 2021)",
      "default": "2021"
    }
  }
}

推荐提示词

retrieve_data
Get details about [item] from US Macroeconomic Data
预期工具: get_inflation
fetch_info
Fetch [information type] using US Macroeconomic Data
预期工具: get_inflation

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证据

最近观测

已验证未记录版本7 个工具
已验证未记录版本7 个工具