No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by chrisryugj · MCP Server · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is archhub-mcp safe to install? View the security audit →
건축HUB MCP 국토교통부 건축HUB 3개 API를 11개 도구로. 건축물대장·건축인허가·주택인허가 + 법정동코드 조회 + 용도지역 포함 종합카드 + 층별 구성 + 동 단위 통계·규모 벤치마크 + 노후건축물 분석 + 공시가격 시계열 + 철거멸실(석면) + 인허가 파이프라인을 AI 어시스턴트에서 자연어로 바로. 국가법령정보 MCP가 "법령"을, 통계 MCP가 "통계"를 다루듯, 이건 건축물 실체 데이터를 다룬다. 건축물대장 · 건축인허가 · 주택인허가 — data.go.kr 공식 API 실측값만, 출처를 명시하고, 없으면 로 환각을 차단. remote 커넥터(fly.io)가 떠 있어, 사용자는 URL만 등록하면 별도 설정 없이 바로 쓴다. 핵심 기능 주소 한 줄이면 으로 코드를 얻고, 그다음은 목적에 맞는 도구 하나로 끝난다. — 용도지역 포함 한 필지 종합카드 표제부와 지역지구구역을 호출해 용도지역(법적 규제) + 주용도·구조·규모·건폐율/용적률·세대/주차·사용승인·내진·에너지효율을 한 카드로 묶는다. 건축의 출발점인 "이 땅 무슨 지역이고, 지금 뭐가 얼마나 서 있나"를 1콜로. (건축사·시공·중개·감정평가) 건폐율/용적률이 응답에 없으면 면적으로 직접 계산해 표시 — 추정과 실측을
| Stars | 65 |
| Forks | 12 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.1265015375579/100 |
| Last Updated | 2026-09-12 |
| Created | 2026-06-02 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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archhub-mcp is 국토교통부 건축HUB → MCP 서버. 건축물대장·건축인허가·주택인허가 + 법정동코드 + 한 필지 종합카드·동 단위 통계·노후건축물 분석. 공용키 탑재 remote 커넥터(URL만 등록). It is categorized as a MCP Server with 65 GitHub stars.
archhub-mcp is primarily written in Python. It covers topics such as archhub, building, fastmcp.
You can find installation instructions and usage details in the archhub-mcp GitHub repository at github.com/chrisryugj/archhub-mcp. The project has 65 stars and 12 forks, indicating an active community.
archhub-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to archhub-mcp on Agent Skills Hub include public-data-lens, reddit-research-mcp, FirstData. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: