Realty.Bingo

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 会计、财务与税务

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://realty.bingo/mcp

claude mcp add --transport http realty https://realty.bingo/mcp

{
  "mcpServers": {
    "realty": {
      "url": "https://realty.bingo/mcp"
    }
  }
}

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

https://realty.bingo/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• 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) ra

• 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 estim

• save_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, ind

• manage_property_watchlist

  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.

• 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 cha

• track_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.

• 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.

• 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.

• analyze_property_investment

  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, repa

• 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

• manage_realtybingo_account

  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).

• get_realtybingo_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.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

• ! 注意

  作者与仓库一致

  发布者（agentstructure）不是仓库所有者（agentstructure）；可能是其他人代为上架的

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 302 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 12 个工具描述，未发现针对 AI 的隐藏指令

与“会计、财务与税务”中的其他服务器比较i

• 星标数多于此分类中其他 2933 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 2933 个服务器的 58% 更新
• 基础检查结果等于或优于此分类中其他 2933 个服务器的 46%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README