edinet-mcp
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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.123 PyPI18Apache 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.-
- 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.739 npmMIT

hub-equity-mcpofficial
AlicenseNot gradedqualityCmaintenanceStandardizes XBRL financial data from US SEC and European ESEF filings for LLM agents, enabling querying normalized financial facts like revenue and total assets across issuers and taxonomies.Apache 2.0
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.