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Korean DART MCP

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Alternatives to Korean DART MCP

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to search Korean DART corporate disclosures, financial statements, ownership filings, and fully parsed XBRL, while converting HWP/PDF attachments into markdown. It also provides analyst-style frames such as insider trading signals, accounting-risk scoring, and Buffett-style quality checklists for comparing companies.
      345 npm
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to analyze Korean financial disclosures (DART) with insider trading signals, accounting risk scores, Buffett-style quality checklists, and automatic conversion of HWP/PDF attachments to markdown.
      15
      345 npm
      3
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Provides 15 tools covering OpenDART 83 APIs for disclosures, financials, equity, XBRL, plus insider signals, accounting risk scores, and Buffett-style quality checklists, and converts HWP/PDF attachments to markdown for AI assistants.
      15
      345 npm
      113
      MIT
    • F
      license
      C
      quality
      Not graded
      maintenance
      Enables AI assistants to access South Korea's financial disclosure system (OpenDART), allowing users to retrieve corporate financial reports, disclosure documents, shareholder information, and automatically extract and search financial statement notes through natural language queries.
      85
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides AI assistants with real-time access to Korean listed companies' disclosures, financial statements, and corporate information via the DART API.
      4
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to access Korea's DART financial data system for retrieving and analyzing corporate disclosures and financial information through natural language queries.
      25 npm
      MIT