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cbjworld

local-policy-mcp

by cbjworld

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    • F
      license
      A
      quality
      B
      maintenance
      Enables searching and retrieving Korean government documents (press releases, policies, laws, statistics, etc.) from about 50 central administrative agencies through natural language interactions with AI assistants like Claude and ChatGPT.
      11
      2
      -
    • A
      license
      C
      quality
      B
      maintenance
      Enables searching, comparing, and analyzing Korean laws and public institution regulations through natural language, integrating 110 MCP tools covering statutes, precedents, and internal rules.
      100
      66 npm
      23
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI programs to search and retrieve approved public regulations with citations, supporting PDF, HWP, HWPX, and DOCX formats.
      45
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Korean tax law for AI agents: search NTS rulings, court and Tax Tribunal decisions; read point-in-time statutes with the Act → Decree → Rule chain and amendment history; basic rules and execution standards; 96 tax treaties with withholding rates; forms and schedules; and verify citations in drafts. Fact-pattern comparison is done by your AI (or optional on-prem/cloud Upstage Solar).
      22
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI tools to search and read the internal regulations of 355 Korean public institutions by title or article text, compare them against the latest innovation guideline, and flag newer revisions. It also saves review results as Hangul (HWPX) revision documents with old-versus-new comparison tables, without requiring an API key.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI apps to compare Korean public notice HWP/HWPX files from consecutive years, extracting changed application requirements and required documents with cited original text locations.
      4
      35 npm
      MIT