R

Realtor

@Rapid

Query real time data of US real estate properties and agents

Realtor MCP Service Description

1. Service Overview

The Realtor MCP Service is a standardized, user-centric interface that provides real-time access to U.S. real estate data, enabling seamless retrieval of property details, agent information, and market insights. Designed for simplicity and utility, it eliminates the need for fragmented data sources, offering a single, integrated solution for users—from homebuyers and renters to real estate platforms and agents—to access accurate, actionable information. By leveraging the MCP protocol, it ensures consistent data formatting and easy integration, making it a powerful tool to enhance decision-making and user experiences.

2. Tool Names & Core Functions

The service includes 24 specialized tools, each tailored to specific real estate needs:

  • /property/schools: Get nearby schools for a property via its ID or URL.
  • /search/forrent/coordinates: Find rental listings in circular (latitude, longitude, radius) or polygonal (coordinate set) areas.
  • /agent/profile: Retrieve an agent’s profile using their advertiser ID or NRDS ID.
  • /search/forsale/coordinates: Search sale listings in circular or polygonal areas.
  • /property/amenities_score: Get nearby amenities and location scores for a property (ID/URL).
  • /property/similar_homes: Find similar homes for a property via its ID.
  • /property/estimates: Access historical and forecasted value estimates (ID/URL).
  • /property/environment_risk: Check environmental risks (flood, wildfire, etc.) for a property (ID/URL).
  • /property/details: Get full property details (ID/URL).
  • /housing_market_details: Retrieve local market stats (median prices, "temperature," rankings).
  • /agent/reviews: View an agent’s reviews via advertiser ID.
  • /search/forrent: Find rental listings by address, neighborhood, city, or ZIP.
  • /agent/recommendations: Get an agent’s recommendations via advertiser ID.
  • /search/forsold/coordinates: Locate sold listings in circular or polygonal areas.
  • /agent/listings: See an agent’s active listings via advertiser ID.
  • /property/history: Access a property’s ownership and tax history (ID/URL).
  • /noise: Get noise level data for a specific coordinate (lat, lon).
  • /search/forsale: Find sale listings by address, neighborhood, city, or ZIP.
  • /property/new_construction_similar_homes: Discover new construction similar to a property (ID/URL).
  • /property/photos: Retrieve a property’s photos (ID/URL).
  • /search/forsold: Locate sold listings by address, neighborhood, city, or ZIP.
  • /suggestion: Get location suggestions based on a keyword.
  • /property/market_trends: View a property’s local market trends (ID/URL).
  • /agent/search: Find agents/teams/offices by location (city/ZIP) or name.

3. Tool Value: How They Help Users

Each tool simplifies real estate tasks:

  • Property-focused tools (e.g., /property/details, /estimates) let users quickly assess a home’s value, history, and risks—critical for buying, selling, or renting.
  • Search tools (e.g., /search/forsale, /forrent/coordinates) enable precise, location-based listing discovery, whether by address or custom polygon.
  • Agent tools (e.g., /agent/profile, /reviews) help users vet agents via profiles, listings, and reviews, fostering trust.
  • Market tools (e.g., /housing_market_details, /property/market_trends) provide context on local conditions, aiding strategic decisions.
  • Specialized tools (e.g., /noise, /amenities_score) add granular insights, like neighborhood livability, that traditional data sources miss.

4. Application Scenarios & Integration Advantages

Use Cases:

  • Homebuyers/Renters: Compare listings, check school districts, and assess value estimates to choose the right home.
  • Real Estate Platforms: Embed real-time data to enhance user experiences (e.g., "similar homes" widgets, market trend graphs).
  • Agents/Brokerages: Showcase listings, reviews, and profiles to attract clients.
  • Developers: Build apps with robust real estate features without managing multiple data streams.

Integration Benefits:
MCP’s standardization ensures easy, consistent integration across systems, reducing development time. Real-time data delivery guarantees users access to the latest listings, market changes, and agent updates. By consolidating diverse real estate data into one interface, it eliminates the hassle of managing fragmented sources—lowering costs and accelerating time-to-market.

In short, the Realtor MCP Service transforms how users interact with real estate data, making it simpler, faster, and more actionable.

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Details

Monthly Tool Calls
333969
Remote
Yes
Published
8/20/2025
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