microburbs
microburbs: полные данные по недвижимости и геопространству Австралии — каждый адрес и мешблок
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноМожет изменять данные
Что умеет
- Получать оценку стоимости объекта и его характеристики
- Смотреть историю продаж и аренды по объекту
- Искать сопоставимые продажи рядом с объектом
- Проверять зонирование, риски и школьные округа
- Читать демографические данные переписи по мешблоку
Какие данные видит
Ассистент читает публичные и агрегированные данные недвижимости Австралии; полный доступ требует платного ключа.
Нужен ли аккаунт
Не нужен: сервер работает без входа
MCP-сервер microburbs даёт ассистенту 174 инструмента с данными по недвижимости Австралии на уровне ниже пригорода: криминальная статистика по мешблокам, прогнозы цен по улицам, демография переписи, риски и данные о развитии территорий. Есть бесплатная песочница без регистрации для девяти пригородов.
Как подключить
Как подключить microburbs к Claude
Адрес сервера, который нужно вставить в настройках Claude:
https://microburbs--microburbs.run.tools
- Откройте Claude (сайт claude.ai или приложение для компьютера).
- Перейдите в Настройки → Коннекторы (в английском интерфейсе: Settings → Connectors).
- Нажмите Добавить пользовательский коннектор (Add custom connector).
- Вставьте адрес сервера, скопированный ниже, в поле URL удалённого MCP-сервера и нажмите Добавить.
- В чате нажмите + → Коннекторы и включите новый коннектор.
Пользовательские коннекторы доступны на тарифах Free, Pro, Max, Team и Enterprise. На Free можно добавить только один. В Team и Enterprise коннектор сначала добавляет владелец организации в Настройки организации → Коннекторы.
Авторизация
После нажатия Добавить откроется окно входа в сервис. Войдите под своим аккаунтом и подтвердите доступ. Пароль Claude не видит.
Как подключить microburbs к ChatGPT
Адрес сервера, который нужно вставить в настройках ChatGPT:
https://microburbs--microburbs.run.tools
- Откройте ChatGPT в браузере (chatgpt.com). Нужен тариф Plus, Pro, Business, Enterprise или Edu.
- Один раз включите режим разработчика: Настройки → Приложения → Дополнительные настройки → Режим разработчика (Settings → Apps → Advanced settings → Developer mode).
- Откройте Настройки → Коннекторы и нажмите Создать (Create).
- Заполните форму: Название (любое), Описание (одна фраза, что делает сервис), URL MCP-сервера (скопируйте ниже).
- В поле Аутентификация выберите OAuth, если сервис требует вход, иначе Нет. Нажмите Создать.
- В новом чате откройте + → Приложения/Коннекторы и включите коннектор.
Название раздела у OpenAI менялось (Connectors → Apps/Plugins). Если пункт называется иначе, ищите «режим разработчика» в настройках. В рабочих пространствах Business/Enterprise администратор должен разрешить пользовательские коннекторы.
Авторизация
При первом использовании ChatGPT откроет окно входа в сервис. Войдите и подтвердите доступ.
Как подключить microburbs к Cursor
Адрес сервера, который нужно вставить в настройках Cursor:
https://microburbs--microburbs.run.tools
Быстрый способ: нажмите кнопку Открыть в Cursor ниже, Cursor сам предложит добавить сервер.
Вручную:
- В Cursor откройте Settings → Cursor Settings → MCP и нажмите Add new global MCP server.
- Вставьте JSON, скопированный ниже, в открывшийся файл
~/.cursor/mcp.json(для одного проекта:.cursor/mcp.jsonв корне проекта). - Сохраните файл. Сервер появится в списке MCP; при необходимости пройдите авторизацию по кнопке рядом с ним.
Авторизация
Если сервис требует вход, рядом с сервером в списке MCP появится кнопка авторизации.
Список инструментов сервера (60)
Технические названия из tools/list. Нужны только разработчикам.
| ping | Returns immediately if the API is up. No authentication required and not metered — safe to poll from a load balancer, uptime monitor, or status dashboard without affecting your usage. |
| ping_head | Returns immediately if the API is up. No authentication required and not metered — safe to poll from a load balancer, uptime monitor, or status dashboard without affecting your usage. |
| me | Return key identity and the authoritative Autumn credit balance. |
| properties_valuation_avm | Microburbs ML AVM for a single GNAF — point estimate, 80% range, plus a confidence score (0–100) derived from the interval width. **Price: 10¢ per call.** |
| properties_basics_bed_count | Bedroom count from the latest matching listing. **Price: 5¢ per call.** |
| properties_basics_bath_count | Bathroom count from the latest matching listing. **Price: 5¢ per call.** |
| properties_basics_parking_count | Parking-space count from the latest matching listing. **Price: 5¢ per call.** |
| properties_basics_dwelling_type | Dwelling type (house, unit, townhouse, ...). **Price: 5¢ per call.** |
| properties_basics_land_area_sqm | Parcel land area in square metres from the cadastral feed. **Price: 3¢ per call.** |
| properties_profile | Resolve a GNAF to its full ABS Statistical Geography Standard hierarchy (Mesh Block → SA1 → SA2 → SA3 → SA4 → GCCSA → State) plus the parallel admin chain (LGA, suburb (SAL), postcode). Call this once to get every ABS key the rest of the data layers index on. **Price: 3¢ per call.** |
| properties_sale_history | All Sold + For Sale records, most-recent first. **Price: 30¢ per call.** |
| properties_sale_history_latest | Most-recent Sold or For Sale record. **Price: 10¢ per call.** |
| properties_rent_history | All For Rent records, most-recent first. **Price: 30¢ per call.** |
| properties_rent_history_latest | Most-recent For Rent record. **Price: 10¢ per call.** |
| properties_neighbours | Adjoining-parcel neighbours, enriched with address + property type + bed/bath/garage from the latest matching listing. **Price: 30¢ per call.** |
| properties_comparables_cma_comp_set | Top comparable sales used to triangulate the subject property's value. **Price: 60¢ per call.** |
| properties_comparables_cma_single_comp | Single best comparable from the CMA set (highest dist_score). **Price: 10¢ per call.** |
| properties_comparables_recent_sales_nearby | Recent comparable sales in a small radius around the subject parcel. **Price: 4¢ per call.** |
| properties_development_zoning_code | Primary zoning at the property's point — code (R2, B4, ...) when the council ships one, plus the human-readable name and the broader category. **Price: 3¢ per call.** |
| properties_development_zoning_overlays | Development overlays intersecting the property's parcel. **Price: 5¢ per call.** |
| properties_schools_nearby | Schools within ~5km of the property, with rank + student counts. **Price: 5¢ per call.** |
| properties_schools_ranking | Schools within ~5km of the property, ranked by NAPLAN / socioeconomic score. **Price: 100¢ per call.** |
| properties_amenities_nearby | Curated amenities (supermarkets, green spaces, restaurants/cafes) within `radius_m` of the property, bucketed and nearest-first. **Price: 10¢ per call.** |
| properties_transport_nearby | Nearest train / tram / bus / ferry stop to the property, per mode, with distance. Widen `radius_m` for the nearest station beyond 1km. **Price: 5¢ per call.** |
| properties_risks_bushfire | Bushfire-prone-area overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is in a bushfire zone". **Price: 15¢ per call.** |
| properties_risks_flood | Modelled flood overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property floods". **Price: 10¢ per call.** |
| properties_risks_historical_flood | Recorded historical flood extents within 1 km. Read `on_property` — a returned row means "found nearby", not "this property flooded". **Price: 3¢ per call.** |
| properties_risks_heritage | Heritage-listing overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is heritage-listed". **Price: 3¢ per call.** |
| properties_risks_public_housing | Public-housing concentration overlay near the parcel. **Price: 4¢ per call.** |
| properties_risks_landslide | Landslide-risk overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is at landslide risk". **Price: 3¢ per call.** |
| properties_risks_erosion | Coastal / soil erosion overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is eroding". **Price: 3¢ per call.** |
| properties_risks_environment | Environmental-risk overlay (contamination, salinity, ...). **Price: 3¢ per call.** |
| properties_risks_hv_power_line | High-voltage power-line easement near the parcel. **Price: 2¢ per call.** |
| properties_risks_mobile_black_spot | Mobile-coverage black-spot overlay near the parcel. **Price: 2¢ per call.** |
| properties_risks_all | Every property-level risk overlay in one call. Flat 30¢ — may grow without increasing the bundle price as new overlays are added. With ``?geojson=true`` each risk that has a polygon overlay also carries its 1km-radius-clipped `geojson` FeatureCollection + `geojson_meta`. **Price: 48¢ per call.** |
| properties_valuation_all | **Price: 10¢ per call.** |
| properties_basics_all | **Price: 23¢ per call.** |
| properties_history_all | **Price: 80¢ per call.** |
| properties_comparables_all | **Price: 74¢ per call.** |
| properties_development_all | **Price: 8¢ per call.** |
| properties_schools_all | **Price: 105¢ per call.** |
| suburbs_profile | The suburb's upward ABS admin chain — LGA, SA2/3/4, GCCSA, state, postcode. Use ``/v1/suburbs/list`` to discover canonical SAL names (and filter by state / LGA / SA4 / postcode). |
| suburbs_list | List Australian suburbs (SALs). Always returns `{suburb, state}` per row so SAL-name collisions across states are unambiguous. With no filter you get the first 1000 suburbs alphabetically (browser-renderable preview). Pass any of the filters to narrow: state / lga / sa4 / sa3 / postcode / q (name search). Filters combine (AND). Flat cost regardless of how many rows come back. **Name search (`q`) is typo-tolerant.** It tries an exact match, then substring, then a fuzzy near-miss, and returns `match` (`exact` / `contains` / `fuzzy`) and `score` on every row so you can see which happened. **Always tell the user which suburb you resolved to, and its state, before quoting numbers for it.** A fuzzy match is a suggestion, not a confirmation — `rokeby` is one letter from Kokeby in Western Australia and Rokeby exists in both Tasmania and Victoria. If more than one candidate is plausible, ask rather than pick. When `q` is combined with `state`, the state is a **preference, not a filter**: in-state candidates rank first, but a suburb of that name in another state is still returned rather than hidden, so a near-miss becomes "Seaview is in Victoria, not Tasmania" instead of "no data". Every other filter stays a strict AND. **Price: 3¢ per call.** |
| suburbs_market_median_sale_price | Latest median sale price for the suburb. |
| suburbs_market_median_sale_price_series | Full median sale-price observation history for the suburb. Well-covered suburbs extend back 20+ years; coverage and observation frequency vary. This is the raw historical series needed to calculate a stated 20-year return, not a precomputed "consistent growth" score or a forecast. |
| suburbs_market_median_rent | Latest median weekly rent for the suburb. |
| suburbs_market_median_rent_series | Full median weekly-rent observation history for the suburb, including 2024 and 2025 where the suburb has coverage. Older observations are generally month-end and recent observations can be weekly; this is not a uniformly quarterly series. Values are advertised median AUD per week. |
| suburbs_market_price_growth_5y | 5-year compound sale-price growth (decimal). |
| suburbs_market_price_growth | Past compound sale-price growth over 1 / 3 / 5 / 10 years, by property type (decimal). The 3y / 10y figures are the same ones the Suburb Finder ranks on. |
| suburbs_market_yield_pct | Gross rental yield = median rent annualised / median sale price. |
| suburbs_market_days_on_market | Median days on market for current listings. |
| suburbs_market_transaction_volume | Recent sale-transaction count for the suburb. |
| suburbs_forecast_sale | 1-year sale-price growth forecast (low / most-likely / high). |
| suburbs_listings_for_sale | Current for-sale listings in the suburb, with address, price, beds/baths and coordinates per listing. `total` is the full number on the market (computed before `limit`), so a count is accurate even when the rows are capped. Raise `limit` for more listings; set `verbose=true` for the agent's full description text. |
| suburbs_demographics_age | Population by age bracket and gender. |
| suburbs_demographics_income | Household income breakdown by bracket. |
| suburbs_ethnicity_ancestry | Ancestry breakdown from the ABS census. |
| suburbs_ethnicity_birthplace | Country-of-birth breakdown from the ABS census. |
| suburbs_schools_catchment | Public-school catchment polygons covering the suburb. |
| suburbs_schools_nearby | Schools serving / near the suburb, with rank + attendance data. |