Dojazdomat
Warsaw commute times and rent medians: rank neighborhoods for an office (transit, bike, walk, car).
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"dojazdomat": {
"url": "https://dojazdomat.sapcorp.eu/mcp"
}
}
}Remote-Endpunkte
https://dojazdomat.sapcorp.eu/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (5)
🟢find_place(query, limit)
Find transit stop groups and neighborhoods by name and get their lat/lon (znajdz przystanek lub osiedle po nazwie). Use the coordinates as input for the other tools.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"description": "Name fragment, e.g. 'Kabaty', 'Rondo ONZ', 'Mokotow'. Diacritics optional.",
"maxLength": 60,
"minLength": 2,
"title": "Query",
"type": "string"
},
"limit": {
"default": 10,
"maximum": 25,
"minimum": 1,
"title": "Limit",
"type": "integer"
}
},
"required": [
"query"
],
"title": "find_placeArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "find_placeDictOutput"
}⚪commute_time(from_lat, from_lon, to_lat, to_lon)
Door-to-door minutes by public transport plus walking, weekday morning 7-9 average, same model as the Dojazdomat map (czas dojazdu komunikacja miejska + pieszo, usredniony dla dni roboczych 7-9). Also lists nearest stops at both ends. minutes is null when the destination is unreachable (over ~2 h).
Eingabe-Schema
{
"type": "object",
"properties": {
"from_lat": {
"description": "Latitude, WGS84, 51.98-52.48 (Warszawa and commuter belt)",
"maximum": 52.48,
"minimum": 51.98,
"title": "From Lat",
"type": "number"
},
"from_lon": {
"description": "Longitude, WGS84, 20.62-21.48 (Warszawa and commuter belt)",
"maximum": 21.48,
"minimum": 20.62,
"title": "From Lon",
"type": "number"
},
"to_lat": {
"description": "Latitude, WGS84, 51.98-52.48 (Warszawa and commuter belt)",
"maximum": 52.48,
"minimum": 51.98,
"title": "To Lat",
"type": "number"
},
"to_lon": {
"description": "Longitude, WGS84, 20.62-21.48 (Warszawa and commuter belt)",
"maximum": 21.48,
"minimum": 20.62,
"title": "To Lon",
"type": "number"
}
},
"required": [
"from_lat",
"from_lon",
"to_lat",
"to_lon"
],
"title": "commute_timeArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "commute_timeDictOutput"
}⚪rent_stats(lat, lon, radius_m, rooms, min_area, ...)
Asking-rent statistics (n, median, p25, p75) of rental ads within radius_m of a point (statystyki cen najmu w promieniu). Aggregates only; if fewer than 5 ads match, the result is suppressed (widen radius or relax filters).
Eingabe-Schema
{
"type": "object",
"properties": {
"lat": {
"description": "Latitude, WGS84, 51.98-52.48 (Warszawa and commuter belt)",
"maximum": 52.48,
"minimum": 51.98,
"title": "Lat",
"type": "number"
},
"lon": {
"description": "Longitude, WGS84, 20.62-21.48 (Warszawa and commuter belt)",
"maximum": 21.48,
"minimum": 20.62,
"title": "Lon",
"type": "number"
},
"radius_m": {
"default": 800,
"description": "Radius in metres, 200-5000",
"maximum": 5000,
"minimum": 200,
"title": "Radius M",
"type": "integer"
},
"rooms": {
"anyOf": [
{
"maximum": 4,
"minimum": 1,
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"description": "Rooms 1-4 (4 = 4+); omit for any / liczba pokoi",
"title": "Rooms"
},
"min_area": {
"anyOf": [
{
"maximum": 1000,
"minimum": 0,
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"description": "Min area m2",
"title": "Min Area"
},
"max_area": {
"anyOf": [
{
"maximum": 1000,
"minimum": 0,
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"description": "Max area m2",
"title": "Max Area"
},
"measure": {
"default": "total",
"description": "'total' PLN/month or 'per_m2' PLN/m2/month",
"enum": [
"total",
"per_m2"
],
"title": "Measure",
"type": "string"
}
},
"required": [
"lat",
"lon"
],
"title": "rent_statsArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "rent_statsDictOutput"
}⚪rank_neighborhoods(office_lat, office_lon, max_commute_min, max_rent, rooms, ...)
Rank Warsaw neighborhoods for a workplace: median rent, commute minutes, value score (rent vs typical rent in the same commute band, like the map) and Pareto flag (no neighborhood both faster and cheaper) (ranking osiedli: czynsz, dojazd, wartosc, front Pareto). Neighborhoods with fewer than 10 ads are skipped. Sorted by value score.
Eingabe-Schema
{
"type": "object",
"properties": {
"office_lat": {
"description": "Latitude, WGS84, 51.98-52.48 (Warszawa and commuter belt)",
"maximum": 52.48,
"minimum": 51.98,
"title": "Office Lat",
"type": "number"
},
"office_lon": {
"description": "Longitude, WGS84, 20.62-21.48 (Warszawa and commuter belt)",
"maximum": 21.48,
"minimum": 20.62,
"title": "Office Lon",
"type": "number"
},
"max_commute_min": {
"anyOf": [
{
"maximum": 120,
"minimum": 1,
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"description": "Max commute minutes",
"title": "Max Commute Min"
},
"max_rent": {
"anyOf": [
{
"exclusiveMinimum": 0,
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"description": "Max neighborhood median rent (PLN, or PLN/m2 if measure=per_m2)",
"title": "Max Rent"
},
"rooms": {
"anyOf": [
{
"maximum": 4,
"minimum": 1,
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"description": "Rooms 1-4 (4 = 4+); omit for any / liczba pokoi",
"title": "Rooms"
},
"measure": {
"default": "total",
"description": "'total' PLN/month or 'per_m2' PLN/m2/month",
"enum": [
"total",
"per_m2"
],
"title": "Measure",
"type": "string"
},
"limit": {
"default": 10,
"maximum": 50,
"minimum": 1,
"title": "Limit",
"type": "integer"
}
},
"required": [
"office_lat",
"office_lon"
],
"title": "rank_neighborhoodsArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "rank_neighborhoodsDictOutput"
}⚪dataset_info
Data dates, sources, listing counts per portal, method notes and caveats (zrodla, daty, ograniczenia danych).
Eingabe-Schema
{
"type": "object",
"properties": {},
"title": "dataset_infoArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "dataset_infoDictOutput"
}Community
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