Stellarhound — stargazing forecasts, dark-sky sites & aurora
Live stargazing forecasts: per-night sky scores, dark-sky sites, aurora & light pollution anywhere.
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Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"stellarhound-mcp": {
"url": "https://stellarhound.com/mcp"
}
}
}Puntos de conexión remotos
https://stellarhound.com/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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.
Esquema de entrada
{
"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}.
Esquema de entrada
{
"type": "object",
"properties": {
"lat": {
"title": "Lat",
"type": "number"
},
"lon": {
"title": "Lon",
"type": "number"
}
},
"required": [
"lat",
"lon"
],
"title": "get_light_pollutionArguments"
}Comunidad
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