get_economic_data
Retrieve macroeconomic data such as treasury rates, indicators, calendar events, and market risk premiums from Yahoo Finance, using date ranges and specific parameters for targeted insights.
Instructions
获取宏观经济数据。
参数说明： data_type: str treasury_rates、economic_indicators、economic_calendar、market_risk_premium name: str 经济指标名称，data_type 为 economic_indicators 时必填 from_date: str 起始日期，格式 YYYY-MM-DD to_date: str 结束日期，格式 YYYY-MM-DD
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data_type | Yes | ||
| from_date | No | ||
| name | No | ||
| to_date | No |
Implementation Reference
- server.py:539-577 (handler)The handler function that implements the get_economic_data tool, fetching macroeconomic data from Financial Modeling Prep API based on specified data_type, handling parameters like name, dates, and different endpoints.
async def get_economic_data( data_type: str, name: str = "", from_date: str = "", to_date: str = "", ) -> str: """根据类型获取经济数据""" api_key = os.environ.get("FMP_API_KEY") if not api_key: return "Error: FMP_API_KEY environment variable not set." base = "https://financialmodelingprep.com/stable" endpoint_map = { "treasury_rates": "treasury-rates", "economic_indicators": "economic-indicators", "economic_calendar": "economic-calendar", "market_risk_premium": "market-risk-premium", } endpoint = endpoint_map.get(data_type.lower()) if not endpoint: return "Error: invalid data type" params = {"apikey": api_key} if data_type == "economic_indicators": if not name: return "Error: name is required for economic_indicators" params["name"] = name if from_date and to_date: params.update({"from": from_date, "to": to_date}) url = f"{base}/{endpoint}" try: resp = requests.get(url, params=params, timeout=10) resp.raise_for_status() data = resp.json() except Exception as e: return f"Error: getting economic data {data_type}: {e}" return json.dumps(data) - server.py:525-538 (registration)The @fmp_server.tool decorator that registers the get_economic_data function as an MCP tool, providing the name and detailed description of parameters serving as schema documentation.
@fmp_server.tool( name="get_economic_data", description="""获取宏观经济数据。 参数说明： data_type: str treasury_rates、economic_indicators、economic_calendar、market_risk_premium name: str 经济指标名称，data_type 为 economic_indicators 时必填 from_date: str 起始日期，格式 YYYY-MM-DD to_date: str 结束日期，格式 YYYY-MM-DD""", ) - server.py:539-544 (schema)The function signature defining the input parameters and return type for the tool, which implicitly serves as the input schema.
async def get_economic_data( data_type: str, name: str = "", from_date: str = "", to_date: str = "", ) -> str: