Enables access and analysis of Japanese corporate financial data (PL/BS/CF) via EDINET API. Supports searching companies, listing reports, and comparing financials through natural language queries.
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.
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.
Provides access to the Securities Exchange of Thailand (SET) to retrieve comprehensive financial statements for listed companies. It enables AI agents to query income statements, balance sheets, and cash flow statements with historical data support.
Structured financial data for ~3,800 Japanese listed companies from EDINET regulatory filings — financials, major shareholders, segments, executive compensation, and corporate history. Remote MCP over HTTPS with OAuth 2.0, free tier.