condensation-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@condensation-mcpAssess mold risk for double-pane window with outdoor -5°C, indoor 20°C, 60% RH"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
결로·곰팡이 판정기 MCP
카카오 PlayMCP 출품작. "우리 집 결로·곰팡이 위험"을 건축물리로 계산해 진단+처방. 기획: ../결로곰팡이판정기_설계.md
구조
condensation_mcp/
├── engine.py 물리 (노점·표면온도·결로/곰팡이 임계·역산) — 대수식, 의존성 0
├── data.py U값(열관류율)·표면저항 DB = 데이터 해자
├── core.py 입력 해석 + 엔진 호출 + 처방 계산 (순수 함수, 테스트 가능)
├── render.py 카카오톡 ━블록 텍스트 렌더
├── weather.py 기상청 단기예보(k-skill-proxy, 키 불필요) → 지역명→실시간 외기
├── server.py FastMCP — mold_risk 도구 (인터뷰 대본=docstring)
├── poc.py 엔진 검증 데모
└── test_core.py core+render 스모크 테스트데이터 흐름: 카카오 AI → mold_risk(JSON) → core → engine + data → render → ━텍스트 → 그대로 표시
Related MCP server: Energy Prediction MCP Server
실행
python -m venv .venv
./.venv/Scripts/python -m pip install -r requirements.txt
# 테스트 / 데모
PYTHONUTF8=1 python test_core.py
PYTHONUTF8=1 python poc.py
# MCP 서버 (Streamable HTTP, http://127.0.0.1:8000/mcp)
./.venv/Scripts/python server.py도구
mold_risk — surface_key(단창/이중창/시스템창/외벽_*/내벽) + t_out 필수. spot·t_in·rh_in·region 선택. rh_in 없으면 역산 모드("습도 N% 넘으면 위험").
list_surfaces — 지원 표면·부위 목록(내부).
상태
✅ 엔진(노점·표면온도·임계·역산) + 검산(fRsi) — PoC·테스트 통과
✅ U값 DB 1차 (창 3 + 벽 4) — 대표값, 정밀 보정 예정
✅ MCP 서버(mold_risk) — 도구 등록·호출·HTTP 부팅 검증
✅ 기상청 API 연동(지역명→실시간 외기 자동, k-skill-proxy, 키 불필요)
⬜ U값 DB 확장(20~30종) + 여름 역결로 + VTT 곰팡이 성장(본선)
⬜ PlayMCP in KC 배포
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