Provides programmatic access to Japan's EDINET system to search for listed companies and retrieve annual or quarterly financial reports. It parses XBRL filings into structured data, enabling AI assistants to analyze balance sheets, income statements, and cash flows.
Lets AI assistants query normalized financial statements (P/L, B/S, C/F) of 3,634 Japanese listed companies from official EDINET filings, unified across J-GAAP, IFRS, and US GAAP with English keys. Zero setup: npx -y edinet-mcp.
Enables querying of SEC EDGAR filings and financial data via natural language, offering tools for company lookup, filing retrieval, XBRL data, and full-text search.
Provides access to SEC EDGAR financial data, enabling AI agents to fetch company filings, financial metrics, and narrative sections. It supports natural-language metric searching and extracts structured data from 10-K, 10-Q, and 8-K reports.
