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The IMF provides datasets on global economic indicators, including GDP growth, inflation rates, exchange rates, fiscal balances and international trade.
The `imf-data` Python library and `requests` against the IMF Data API (dataservices.imf.org) provide access to WEO, IFS, and DOTS datasets. Engineers use ISO-2 country codes with indicator codes to retrieve long time-series of GDP, inflation, and current account data.
IMF data is the gold standard for AI macroeconomic analysis tools. Expose the IMF API as an MCP server so LLM agents can retrieve current GDP forecasts, or build RAG systems on IMF Article IV consultation reports so AI economic advisors can answer questions with official IMF assessments.
# pip install requests pandas
import requests, pandas as pd
resp = requests.get(
"https://www.imf.org/external/datamapper/api/v1/NGDP_RPCH/USA/CHN/DEU/JPN"
)
data = resp.json()["values"]["NGDP_RPCH"]
df = pd.DataFrame(data).T
df.index.name = "year"
print("GDP growth rates (%):")
print(df.tail(5))Official dataset source
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UNCTAD provides datasets on trade, investment, development, globalization, economic indicators and other aspects of international trade and development.