edinet-mcp
Related Servers
Alternatives to edinet-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides 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.131 PyPI19Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables 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.1MIT
- AlicenseAqualityCmaintenanceStructured 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.131MIT
- FlicenseNot gradedqualityDmaintenanceProvides AI agents with comprehensive Japanese market intelligence through 27 MCP tools, covering corporate data, macroeconomics, financials, and environmental data from 14 integrated sources.-
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to query Korean OpenDART disclosures, financial statements, ownership, and XBRL data through 15 MCP tools, with analyst signals, accounting-risk scoring, quality checklists, and HWP/PDF attachment conversion to Markdown.1,292 npmMIT
- AlicenseAqualityAmaintenanceEnables MCP clients to search verified Japanese corporate records — EDINET XBRL financials, 13-digit corporate numbers, major shareholders, and gBizINFO certifications — locally through a single knowledge-search tool with keyword, fuzzy, semantic, or hybrid retrieval. It also maps J-GAAP, US GAAP, and IFRS concepts so filings can be read in English without mistranslating terms like 営業利益 and 経常利益.732 npmMIT
TDQS
Scored across 4 tools
Each tool has a distinct and non-overlapping purpose: search_company resolves names to codes, list_companies filters by criteria, get_financials retrieves detailed financials for one company, and compare_companies compares multiple companies. No ambiguity.
All tool names follow a consistent verb_noun pattern using snake_case: search_company, list_companies, get_financials, compare_companies. This is predictable and clear.
With only 4 tools, the server is well-scoped for its purpose of accessing Japanese company financial data. Each tool serves a necessary function without redundancy or bloat.
The set covers the key workflows: discovering companies (search and list), retrieving financial data (get_financials), and comparing metrics (compare_companies). A minor gap might be the lack of time-series or direct filing access, but the core is solid.