Realty.Bingo

io.github.agentstructure由 GitHub 帳號 agentstructure 發布v1.0.0更新於 Oct 24, 2026

Property search, comparison, investment analysis and watchlists with change alerts

已驗證Streamable HTTP可網頁執行位置與生活金融

概覽

AI 產生的概覽

Realty.Bingo 讓助理搜尋美國待售或出租物件、比較房產、分析出租投報率,並建立附變動通知的監控清單。

可以做什麼
依城市與州、郵遞區號、半徑或多邊形搜尋美國待售或出租物件,支援硬性篩選與軟性偏好排序,並取得單一房產或物件的完整詳情,包括標示為估算的資料與身分比對信心度。並排比較 2 至 5 處房產,查看價格與狀態歷史,並與房源來源自行回報的歷史分開標示。分析待售物件的租金收益率、租售比與每平方英尺價格,可選擇加入融資假設。建立、列出、暫停、恢復或刪除具名監控清單,追蹤個別房產,並讀取新匹配、降價、達到門檻與重新上架等通知。記錄使用者對房產的反應
適用情境
適合在美國找房或租屋的人,讓助理搜尋物件、比較候選、計算出租投報率,或長期關注某些區域與房產的價格及狀態變化。
執行需求
遠端 streamable HTTP 端點;未宣告套件、環境變數或標頭。監控清單、追蹤、通知、個人化與 webhook 意味著需要 Realty.Bingo 帳號,且 webhook 註明為付費方案功能。
安裝前請注意
監控清單、追蹤、回饋與帳號操作會寫入持久資料;刪除清單、清除個人化或刪除帳號需要明確的確認旗標。租金與估值資料標示為估算,投資分析依賴使用者提供的假設。帳號管理會顯示已儲存的偏好,並可設定簽章 webhook。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Realty.Bingo,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.agentstructure%2Frealty/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "realty-bingo": {
      "type": "http",
      "url": "https://realty.bingo/mcp"
    }
  }
}

工具

12

search_properties

Search properties

Find active U.S. homes for sale or rent in a city+state, ZIP codes, a radius around a point, or a polygon. Hard requirements (max_price, min_bedrooms, min_bathrooms, property_types, must_have) filter; soft preferences (ideal_max_price, preferred_bedrooms, nice_to_have, styles) rank; avoid and exclude_property_types exclude. Each result has a 0-100 match score with reasons and uncertainties, the features the listing states (with evidence class), source details and when it was last confirmed active. Features a listing does not mention are UNKNOWN, never assumed. Reuses data fetched in the last 12 hours; otherwise makes a live request if the daily allowance permits. Source: Realtor.com (via RapidAPI) with RentCast as fallback; each result names its source. Never present results beyond what is returned.

輸入參數sortavoidlimitnotesoffsetstyleslocation必填max_pricemin_pricemust_haveinvestmentmax_hoa_fee另有 16 個

get_property_details

Get property details

Everything Realty.Bingo holds on one property (property_id) or listing (listing_id): attributes, current and other listings, listing contact as published, features with evidence, identity-resolution confidence, recent changes and any stored rent/value estimates (labelled as estimates). refresh: true fetches the latest record if the stored one is over a day old.

輸入參數refreshlisting_idproperty_id

save_property_watchlist

Save a property watchlist

Save the user's search criteria once as a named, persistent watchlist (same criteria as search_properties) with alert preferences (min_score, new listings, price drops with optional minimum percent or amount, back on market). Realty.Bingo then monitors the area on a schedule, independent of any conversation, and records new matching listings, price reductions and relistings as alerts. Saving again with the same name replaces it. Returns how the criteria were interpreted (hard vs soft vs excluded) and a preview from stored data. Preferences about the people in a neighbourhood are refused (fair housing).

輸入參數name必填criteria必填prioritymonitoringalert_prefs

manage_property_watchlist

Manage watchlists

list, get, pause, resume or delete (confirm: true) the user's watchlists by name, or 'matches' to see the best-scoring current listings for one. Also shows plan limits.

輸入參數nameaction必填confirm

get_property_alerts

Get property alerts

New alerts from monitoring: NEW_MATCHING_PROPERTY, NEW_STRONG_STYLE_MATCH, PRICE_DROP, RENT_DROP, PRICE_THRESHOLD_REACHED, RENT_THRESHOLD_REACHED, PROPERTY_BACK_ON_MARKET, LISTING_STATUS_CHANGED, SAVED_PROPERTY_UPDATED, INVESTMENT_CRITERIA_MATCHED. Filter by types (e.g. price changes only) or watchlist. Each alert has the property, source, previous and current values, detection time, freshness and why it matched. Returned alerts are marked retrieved. Relay the message wording; do not upgrade it (a price drop is not a bargain, a removed listing is not a sale).

輸入參數limittypeswatchlistinclude_already_retrieved

track_property

Track a property

Follow one property (track), stop (untrack) or list tracked ones. Optional price_below threshold and min_drop_pct. Tracked properties produce alerts on every verified price or status change.

輸入參數noteaction必填listing_idprice_belowproperty_idmin_drop_pct

get_property_history

Get property history

Price and status history for a property: what Realty.Bingo observed (with dates), detected changes, and the listing source's own reported history, kept separate and labelled. Includes cumulative change since first observed. Never infers an earlier price.

輸入參數listing_idproperty_id

compare_properties

Compare properties

Side-by-side comparison of 2-5 properties (property_id) on price, price per sq ft, size, age, HOA, time observed, price changes and stated features (unknown where the listing is silent); optional match scores against a saved watchlist.

輸入參數watchlistproperty_ids必填

analyze_property_investment

Analyze an investment property

Gross rental yield, gross annual rent, price-to-rent and price per sq ft for a sale listing, from the user's monthly_rent, an active rental listing for the same property, or a RentCast rent estimate (labelled). With assumptions (down payment, rate, taxes, insurance, vacancy, repairs, management, capex) also cash flow, cap rate and cash-on-cash, plus a sensitivity table. Gross yield is not a return; always relay the disclaimer.

輸入參數listing_idassumptionsproperty_idmonthly_rentuse_rent_estimate

record_property_feedback

Record property feedback

Record the user's reaction to a property: like, save (also tracks it), dislike, dismiss (never shown again), hide, contacted_agent, toured, with optional reasons (price, hoa, location, size, condition, style, layout, lot, noise, other). Only when the user says so. Returns learned preference suggestions and clarifying questions to ask.

輸入參數reasonsfeedback必填listing_idproperty_id

manage_realtybingo_account

Manage account and preferences

view the account, plan, usage and every stored preference with its provenance; confirm, reject or delete a learned preference; clear personalization or delete the account (both need confirm: true and an explicit request); set or remove a signed webhook for alerts (paid plans).

輸入參數keyaction必填confirmwebhook_url

get_realtybingo_brief

Realty.Bingo brief

A personalized digest: pending alert counts and the top few, each watchlist's best current matches and data age, tracked properties and their changes this week, learned-preference suggestions and questions worth asking. Does not mark alerts retrieved.

無需輸入參數。

版本歷史

1
  1. v1.0.0最新Oct 14, 2026

評分

已滿足適用檢查項的 83%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。