ECOS Korea

ECOS — Bank of Korea Economic Statistics System.

Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.

Tools

Tool	Description
ecos_key_indicators	Bank of Korea headline economic indicators: M1/M2 money supply, KRW/USD + KRW/JPY exchange rates, base interest rate, CPI, PPI, GDP growth, current account balance, household debt, unemployment, housing index — 101 series total in one call. Each row: indicator name, current value, cycle date, unit. Use for "what is Korea's [exchange rate / interest rate / CPI / GDP] right now". Updates daily.
ecos_search_tables	Search Bank of Korea ECOS statistic tables — 800+ official Korean economic series across monetary policy, exchange rates, prices, balance of payments, GDP, real estate, household credit, etc. Returns stat_code + Korean name + cycle (A annual / Q quarterly / M monthly / D daily). Use as a directory before ecos_get_series. q is matched substring-wise against the Korean name; pass blank to browse top-N.
ecos_series_items	List the items (sub-series) within a Bank of Korea ECOS statistic table. Most stat_codes have multiple sub-items (e.g., the exchange-rate table has rows per currency: USD, JPY, EUR, ...). Pass the stat_code from ecos_search_tables; returns item_code, item_name, cycle, data_count, start/end period. Use to discover the exact item codes needed by ecos_get_series.
ecos_get_series	Fetch a time series from Bank of Korea ECOS. Pass stat_code + cycle (A/Q/M/D) + start/end period. Date format matches the cycle: yearly = "2024", quarterly = "2024Q3", monthly = "202403", daily = "20240315". Optionally narrow to specific item_code(s) via item1/item2/item3/item4. Returns rows with stat_name, item_name, unit, time, data_value. Use after ecos_search_tables + ecos_series_items to discover codes.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "ecos-kr": {
      "url": "https://gateway.pipeworx.io/ecos-kr/mcp"
    }
  }
}

Or connect to the full Pipeworx gateway for access to all 1394+ data sources:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English:

ask_pipeworx({ question: "your question about Ecos Kr data" })

The gateway picks the right tool and fills the arguments automatically.

More

• Docs and guides
• pipeworx.io

License

MIT