Energetica — Argentine Oil & Gas Data
Argentine oil & gas data — 40+ curated tables: production, wells, prices, investments, trade.
Connect it
Settings → Connectors → Add custom connector
URL: https://energetica.ar/api/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://energetica.ar/api/mcp{
"mcpServers": {
"data": {
"url": "https://energetica.ar/api/mcp"
}
}
}claude mcp add --transport http data https://energetica.ar/api/mcp{
"servers": {
"data": {
"type": "http",
"url": "https://energetica.ar/api/mcp"
}
}
}8 tools, verified live
query_productionQuery monthly oil, gas, and water production data from Argentine hydrocarbon wells. Data covers 2006-present with ~18M records. Can be filtered and grouped by basin, company, geological formation, and time period.
query_wellsSearch and filter Argentine oil & gas wells. Returns well location, type, status, cumulative production, and technical data. ~50,000 wells available.
query_pricesQuery international and local energy prices. Includes WTI, Brent, Henry Hub (daily), Argentine crude prices (Escalante, Medanito), and exchange rates (official, blue, MEP, CCL).
query_investmentsQuery upstream oil & gas investments in Argentina by company, basin, and year. Data includes drilling, completion, and infrastructure expenditure in millions USD.
query_tradeQuery Argentina hydrocarbon trade balance (exports/imports). Covers crude oil (HS 2709), refined products (HS 2710), and natural gas (HS 2711). Values in FOB USD.
get_schemaGet the database schema and metadata. Returns table names, columns, types, descriptions, units, and example values. Use this to understand what data is available before querying.
execute_sqlExecute arbitrary read-only SQL against the DuckDB database. Only SELECT and WITH statements are allowed. Use get_schema first to understand available tables and columns. Available on Professional tier and above.
get_data_freshnessGet the latest data available in each table â last period, date range, and total records. Use this to understand how current the data is.
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