15 packages matching “기상청”
@dbsxortime/mcp-weather-server
v1.0.17 · 1 year ago
한국 기상청 API를 사용하여 날씨 정보를 제공하는 MCP 서버입니다.
No known vulnerabilities
korea-public-village-forecast
v0.2.1 · 3 years ago
기상청 동네예보 조회서비스 OpenAPI node.js(TypeScript) wrapper
No known vulnerabilities
@mcp-kr/publicdata-mcp
v0.1.0 · 2 months ago
행정안전부 공공데이터포털 MCP 서버 — 기상청 날씨, 버스, 지하철, 아파트실거래가, 인구통계를 Claude에서 조회합니다.
No known vulnerabilities
@things-factory/integration-data-go-kr
v10.0.10 · 3 days ago
Korean public data portal (data.go.kr) connector for Things-Factory integration engine. Includes generic invocation task and service-specific helpers (e.g., building ledger / 건축물대장).
No known vulnerabilities
console-sorry
v1.0.1 · 25 days ago
출력할 때마다 알아서 사과해주는 멘탈 케어형 console 래퍼 패키지
No known vulnerabilities
mcp-server-kpubdata
v1.0.0 · 4 months ago
Korean Public Data MCP server - Weather, Business verification, Real estate prices, Hospital search, Holidays from data.go.kr
No known vulnerabilities
gildongmu
v0.8.0 · 19 days ago
길동무 CLI: 접근성 우선 대한민국 길찾기·로컬 정보를 터미널에서
No known vulnerabilities
gildongmu-mcp
v0.8.0 · 19 days ago
길동무 MCP 서버: 한국 길찾기·로컬 정보 도구
No known vulnerabilities
kma-grid
v1.0.5 · 2 months ago
Library to convert latitude longitude coordinates to KMA Grid coordinates
No known vulnerabilities
n8n-nodes-data-go-kr
v0.0.1 · 19 days ago
Unofficial n8n community node for data.go.kr, the Korea Public Data Portal open APIs. Not affiliated with NIA or the Korean government. Work in progress.
No known vulnerabilities
@operato/weather
v10.2.1 · 21 days ago
User interface for weather layer over map
No known vulnerabilities
ultra-exact-ncst
v1.2.3 · 1 year ago
nowcast with coordinate
No known vulnerabilities
kma_latlon_xy
v1.1.1 · 8 months ago
Converting latitude longitude values to grid code of the Korea Meteorological Administration forecast
No known vulnerabilities
jma-lang-ko
v2.2.2 · 3 months ago
Translate Japan Meteorological Agency (JMA) disaster codes into Korean
No known vulnerabilities
datakorea
v0.1.1 · 5 months ago
Korean data accessibility map — 1,354 organizations, 95K+ datasets, 4K+ domains. Zero dependencies.
No known vulnerabilities