Stellarhound — stargazing forecasts, dark-sky sites & aurora
Live stargazing forecasts: per-night sky scores, dark-sky sites, aurora & light pollution anywhere.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"stellarhound-mcp": {
"url": "https://stellarhound.com/mcp"
}
}
}원격 엔드포인트
https://stellarhound.com/mcpstreamable-http할 수 있는 일
도구 목록
도구 (5)
🟢get_stargazing_conditions(lat, lon, nights)
Score the next nights for stargazing at a location (0-100 per night). Use for "when should I stargaze this week near X", "is Saturday any good for the Milky Way", trip planning. Each night combines the three-layer cloud-cover forecast, moon illumination and up-fraction, and the astronomical-darkness window; `best_window` names the best upcoming night. Also returns the location's light-pollution estimate (approximate Bortle class + what's visible at that darkness). Args: lat: Latitude in decimal degrees (-90..90). You know city coordinates — pass them. lon: Longitude in decimal degrees (-180..180). nights: How many nights ahead to score, 1-16 (default 7; forecasts beyond ~7 nights are increasingly uncertain). Returns {timezone, light_pollution, nights:[{date, darkness, moon, cloud, score:{value, band, summary}}], best_window, uncertainty_note, attribution}. Present scores/verdicts verbatim; skies beyond ~7 days are provisional.
입력 스키마
{
"type": "object",
"properties": {
"lat": {
"title": "Lat",
"type": "number"
},
"lon": {
"title": "Lon",
"type": "number"
},
"nights": {
"default": 7,
"title": "Nights",
"type": "integer"
}
},
"required": [
"lat",
"lon"
],
"title": "get_stargazing_conditionsArguments"
}🟢get_tonight_agenda(lat, lon)
Get tonight's stargazing plan for a location: score, darkness window, and what to observe. Use when the user asks "what can I see tonight" / "is tonight worth going out". Returns tonight's sky score and darkness window plus a ranked agenda of observing targets appropriate for the location's sky darkness. Args: lat: Latitude in decimal degrees (-90..90). lon: Longitude in decimal degrees (-180..180). Returns {timezone, light_pollution, tonight:{date, darkness, weather,...}, targets/agenda entries, attribution}. Report as returned.
입력 스키마
{
"type": "object",
"properties": {
"lat": {
"title": "Lat",
"type": "number"
},
"lon": {
"title": "Lon",
"type": "number"
}
},
"required": [
"lat",
"lon"
],
"title": "get_tonight_agendaArguments"
}🟢find_dark_sky_sites(lat, lon, limit)
Recommend dark-sky sites near a location, ranked by whether the drive is worth it. Use for "where should I drive to stargaze near X". Sites are grouped by drivability (how far), then ranked by a drive-worth score combining the best weather window over the next 7 nights, how much darker the site is than the user's location, and drive time. Drive times are approximate (straight-line x 1.3), not routed. Args: lat: Latitude in decimal degrees (-90..90). lon: Longitude in decimal degrees (-180..180). limit: Max sites to return, 1-12 (default 5). Returns {ranking (methodology note), tiers:[{tier, label, hint, sites:[...]}], nearest_km, uncertainty_note, attribution} — sites grouped into drivability tiers. Include the methodology note when presenting — it explains the ordering honestly.
입력 스키마
{
"type": "object",
"properties": {
"lat": {
"title": "Lat",
"type": "number"
},
"lon": {
"title": "Lon",
"type": "number"
},
"limit": {
"default": 5,
"title": "Limit",
"type": "integer"
}
},
"required": [
"lat",
"lon"
],
"title": "find_dark_sky_sitesArguments"
}🟢get_aurora_forecast(lat, lon)
Get the aurora (northern/southern lights) outlook for a location. Use for "any chance of aurora tonight near X". Combines the Kp-index forecast with the location's geomagnetic latitude to say whether aurora could be visible there, and when. Args: lat: Latitude in decimal degrees (-90..90). lon: Longitude in decimal degrees (-180..180). Returns {kp_forecast:[{time, kp, flag: observed|estimated|predicted}, ...], visibility assessment fields, attribution}. Kp entries are flagged by how firm they are — keep those labels when presenting.
입력 스키마
{
"type": "object",
"properties": {
"lat": {
"title": "Lat",
"type": "number"
},
"lon": {
"title": "Lon",
"type": "number"
}
},
"required": [
"lat",
"lon"
],
"title": "get_aurora_forecastArguments"
}🟢get_light_pollution(lat, lon)
Estimate light pollution at any point: approximate Bortle class and what's visible there. Use for "how dark is the sky at X" / "can I see the Milky Way from X". Returns the zenith-brightness-derived estimate (mpsas, approximate Bortle class) and a plain-language ceiling: what the Milky Way, naked-eye and telescope views are like under that sky. This is a satellite-data estimate, not a field measurement — say so. Args: lat: Latitude in decimal degrees (-90..90). lon: Longitude in decimal degrees (-180..180). Returns {light_pollution:{bortle_approx, mpsas, ceiling:{label, milky_way, naked_eye, telescope}, note}, attribution}.
입력 스키마
{
"type": "object",
"properties": {
"lat": {
"title": "Lat",
"type": "number"
},
"lon": {
"title": "Lon",
"type": "number"
}
},
"required": [
"lat",
"lon"
],
"title": "get_light_pollutionArguments"
}커뮤니티
증거