local-policy-mcp
Related Servers
Alternatives to local-policy-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceEnables 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.112MIT
- AlicenseCqualityBmaintenanceEnables searching, comparing, and analyzing Korean laws and public institution regulations through natural language, integrating 110 MCP tools covering statutes, precedents, and internal rules.10033 npm24MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI programs to search and retrieve approved public regulations with citations, supporting PDF, HWP, HWPX, and DOCX formats.43MIT
- AlicenseAqualityAmaintenanceKorean 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).14246MIT
- AlicenseNot gradedqualityAmaintenanceEnables 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
- AlicenseAqualityAmaintenanceEnables 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.450 npmMIT
TDQS
Scored across 9 tools
Most tools target distinct resources or actions, but research_open_document/read_open_document and research_official_notice/read_official_source overlap in reading portal/official documents. research_policy is also broad and can shadow more specific search and read tools, even though the descriptions provide extensive guidance.
All names use consistent snake_case with a clear verb_noun or verb_noun_phrase pattern such as research_policy, search_budget_projects, read_open_document, and build_research_brief. There is no mixing of camelCase or vague noun-only names.
Nine tools is a well-scoped number for a municipal policy and budget research server, falling comfortably within the 3-15 range. The count reflects distinct research stages rather than excessive surface area.
The surface covers search, reading, evidence extraction, budget lookup, official notices, and brief synthesis, forming a coherent research lifecycle. Minor gaps remain, such as no explicit institution metadata listing or broader multi-case comparison beyond the 2-4 cases supported by build_research_brief.