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• Korean DART MCP

  diaz6212

  A

  license

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  quality

  A

  maintenance

  Enables AI assistants to query Korean OpenDART electronic disclosure data — disclosures, financials, equity, and XBRL — through 15 consolidated tools, including insider-trading signals, accounting-risk scoring, Buffett-style quality checklists, and HWP/PDF attachment-to-Markdown conversion.

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• Korean DART MCP

  SomchaiBerg06

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables AI assistants to query Korean OpenDART disclosure, financial, ownership, and XBRL data through 15 tools, including insider signals, accounting-risk scoring, Buffett-style quality checklists, and HWP/PDF attachment conversion to Markdown.

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• Korean DART MCP

  chrisryugj

  A

  license

  A

  quality

  A

  maintenance

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• korean-dart-mcp

  Owens39508

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables AI assistants to query Korea's OpenDART electronic disclosure system through 15 condensed tools covering filings, financials, equity changes, and XBRL statements with automatic calculation validation. Adds analyst-style frames such as insider buy/sell cluster signals, 0-100 accounting risk scoring, Buffett-style quality comparisons, and conversion of HWP/PDF attachments into searchable markdown.

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• Korean DART MCP

  JulieKumar753

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables AI assistants to query Korea's OpenDART electronic disclosure system through 15 consolidated tools covering filings, financials, XBRL statements, and equity changes. Adds analyst-grade frames such as insider buy/sell clustering, accounting-risk scoring, Buffett-style quality checklists, and HWP/PDF attachment-to-Markdown conversion.

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• Korean DART MCP

  yusukefontana

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables AI assistants to query and analyze Korean OpenDART disclosures, financial statements, shareholding changes, XBRL data, insider trading signals, accounting-risk scores, and Buffett-style quality metrics, while converting HWP/PDF attachments into markdown for natural-language research.

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