Provides programmatic access and analysis capabilities for Bank of Japan's statistical flat files.
Sponsored
boj-mcp offers a powerful Python interface for programmatically accessing and analyzing Bank of Japan's extensive statistical flat files, including crucial economic indicators like CGPI, SPPI, TANKAN, and Flow of Funds. As the first Python implementation for this data, it simplifies the process of downloading, parsing, and exporting this valuable financial data into high-performance Polars DataFrames. It also features an MCP server for seamless integration with AI assistants, all without requiring any API keys for publicly available data.
Características Principales
01Programmatic access to 16 Bank of Japan statistical datasets
02Automatic handling of Shift_JIS encoding for BOJ flat files
03Export data to high-performance Polars DataFrames
04Integrated MCP server for AI assistant integration and data retrieval
05No API key required for publicly available data sources
060 GitHub stars
Casos de Uso
01Programmatically download and analyze Bank of Japan economic and financial statistics
02Integrate BOJ data retrieval into AI assistant workflows via the MCP server
03Perform high-performance financial and economic research using structured BOJ data in Polars DataFrames
