MCP server

Realty.Bingo

io.github.agentstructure/realty

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

12

Token cost

About 5,897 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.realty]
url = "https://realty.bingo/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add realty https://realty.bingo/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"realty","server_url":"https://realty.bingo/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"realty","server_url":"https://realty.bingo/mcp"}

Tools

• analyze_property_investment ~498 tokens
  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, cap
• compare_properties ~188 tokens
  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.
• get_property_alerts ~413 tokens
  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 watchl
• get_property_details ~241 tokens
  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
• get_property_history ~161 tokens
  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.
• get_realtybingo_brief ~125 tokens
  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.
• manage_property_watchlist ~156 tokens
  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.
• manage_realtybingo_account ~223 tokens
  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).
• record_property_feedback ~268 tokens
  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 suggesti
• save_property_watchlist ~1688 tokens
  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 conv
• search_properties ~1678 tokens
  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 exclud
• track_property ~258 tokens
  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.

Browse

• GitHub tools
• Payments
• GitHub and code hosting
• Property

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