# Realty.Bingo Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Realty.Bingo

Search U.S. homes for sale or rent, track prices, get alerts on new listings and price drops, compare properties and ana

- Record: https://musedirectory.ai/connector/realty-bingo
- Category: Shopping & Commerce
- Developer: realty.bingo (https://realty.bingo)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 504ms, checked 2026-10-29T11:00:58Z
- Endpoint: https://realty.bingo/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-10-29T07:16:54Z)
- Source: Found in the official MCP Registry (io.github.agentstructure/realty) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.agentstructure%2Frealty

Connects to Realtor.com to search active U.S. residential properties by location, price, bedrooms and features. Create watchlists with alerts for new matches, price drops and relistings. Track individual properties, compare listings side-by-side, and analyze rental investment metrics including cash flow and cap rate.

Example request: "Find 3-bedroom homes under $400k in Austin, Texas, alert me when prices drop, and show me which ones would work as rental investments."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Realty.Bingo to help me. It is a free service with an MCP server at https://realty.bingo/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- 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.

Screening checks:
- MCP handshake: pass (Answered in 543ms)
- Domain against threat feeds (Cloudflare security DNS): pass (realty.bingo not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (12 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (No concerns)