# Bridge Data Output MCP for AI Agents AI Agent Connect > Bridge Data Output lets you pull real estate data from the Bridge API directly into your AI agent. You can browse MLS listings, pull property specs, find agent details, and search for homes by city or price without leaving your chat interface. It turns complex OData queries into simple natural language commands for faster market research. ## Overview - **Category:** real-estate - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_WbJVElapjQuhCwxru3rxMquXYjRgjMmt7bC6extN/ai-agent-connect - **Tags:** mls-data, property-listings, odata, real-estate-data, market-analysis, property-records ## Description You're tired of jumping between tabs to check property details or copy-pasting MLS data into a spreadsheet. This Connector lets you bring that data straight to your agent. You can ask for a list of properties in a specific city or pull the full history of a single house without ever opening a browser. It connects to the Bridge Interactive API, giving your agent a direct line to thousands of listings. Instead of manually searching for media or agent contact info, you just tell your agent what you need. It handles the heavy lifting of OData filtering so you can focus on the analysis. It's one of the many ways you can expand what your agent does when you use the Vinkius catalog. You get a clean way to see what's on the market, who's selling it, and what the actual specs are, all through a normal conversation. No more manual exports or tedious data entry. Just ask, and get the data you need to make informed decisions. ## Tools ### get_dataset_metadata See the schema for a specific dataset to understand what data points are available. This helps you know exactly what your agent can query. ### list_data_systems See every MLS and data system your account has permission to access. It gives you an overview of your available data sources. ### list_media Get links to high-resolution photos and virtual tours from a specific dataset. This saves you from hunting for media links manually. ### list_members Find all agents associated with a specific real estate dataset. It's a fast way to pull member information for a specific area. ### list_offices View the list of real estate offices tied to a specific data system. This helps identify the key players in a dataset. ### search_properties_by_city Find properties in a specific city based on your natural language request. This is the fastest way to scout a new geographic area. ### search_properties_by_price Filter for properties that meet your specific price floor. Use this to narrow down high-value opportunities quickly. ### get_property Pull the full details and metadata for a single property listing. Use this to get specific facts about a home. ### list_properties Pull a list of properties from a specific dataset for a broader overview. Use this to see what's currently available in a set. ### list_recent_listings See the most recently modified properties to track new market activity. It's perfect for staying on top of new inventory. ## Prompt Examples **Prompt:** ``` List all real estate data systems I can access. ``` **Response:** ``` I've checked your Bridge account. You have access to the following data systems: * **Miami Realtors MLS** (ID: `miami_mls`) * **Zillow Property Feed** (ID: `zillow_data`) Which one would you like to explore first? ``` **Prompt:** ``` Search for properties in Miami with a price over $1,000,000. ``` **Response:** ``` I've found 10 properties in Miami over $1M. Here are a few highlights: | Property Type | Location | Price | | :--- | :--- | :--- | | Condo | Brickell Ave | $1,200,000 | | Estate | Waterfront | $3,500,000 | Would you like the full details for any of these? ``` **Prompt:** ``` Get details for property listing key 12345-6789. ``` **Response:** ``` Here are the details for property **12345-6789**: * **Type:** Single Family Home * **Address:** 742 Evergreen Terrace * **Specs:** 3 Bedrooms, 2 Bathrooms, 2,500 sqft * **Last Modified:** March 20th Let me know if you need the media links or agent info for this house. ``` ## Capabilities ### Browse MLS listings Browse thousands of properties from various datasets using natural language. ### Pull property details Get physical characteristics and historical values for specific homes instantly. ### Search by location Find properties in a specific city without manual filtering. ### Filter by budget Identify homes above a certain price point with a single request. ### Find agent info List real estate members and offices associated with specific datasets. ### Access listing media Get links to high-resolution photos and virtual tours for any property. ## Use Cases ### Market Report Generation An analyst asks for properties in Miami over $1M to build a report. The agent uses search_properties_by_city and search_properties_by_price to aggregate the data. ### Property Deep Dive A buyer wants to know the history and specs of a specific home. The agent uses get_property to provide a full summary of the listing. ### Lead Scraping A recruiter needs to find all agents in a specific MLS. The agent uses list_members to gather contact info for the entire dataset. ### Data Structure Testing A developer wants to see what fields a specific MLS provides. The agent uses get_dataset_metadata to check the schema and available fields. ## Benefits - Stop manual data entry by using list_properties to pull entire datasets into your chat interface instantly. - Identify high-value targets faster with search_properties_by_price to filter by your specific budget requirements. - Get visual context immediately by using list_media to find photos and virtual tours for any property listing. - Simplify market research by using search_properties_by_city to scout specific regions without manual filters. - Verify data points quickly with get_dataset_metadata to see exactly which fields are available in any dataset. - Track new inventory as it hits the market using list_recent_listings for real-time updates on new properties. ## How It Works The bottom line is you get a direct, conversational interface to massive real estate datasets. 1. Subscribe to the Bridge Data Output MCP on Vinkius. 2. Enter your Bridge Server Token (Bearer) in your AI client settings. 3. Ask your agent to find listings or analyze property data in your preferred language. ## Frequently Asked Questions **What can I do with Bridge Data Output?** You can use it to query MLS listings, find specific property details, and pull agent or office information directly into your AI agent. **Can Bridge Data Output find properties by city?** Yes, it can search for properties in a specific city using natural language, making it easy to scout new markets quickly. **How do I get property photos with Bridge Data Output?** The Connector can pull links to high-resolution photos and virtual tours for listings, so you can view media without leaving your chat. **Can I see agent info using Bridge Data Output?** Yes, it can list real estate members and offices associated with specific datasets to help you identify key contacts. **Does Bridge Data Output work with my Bridge API key?** It connects directly to your Bridge Interactive account using your Bearer token, allowing your agent to access your specific data systems. **Can I use Bridge Data Output for market research?** It's designed for that. It helps you gather listing data, track recent modifications, and analyze price points for market reports. **Can I filter listings by a specific price range?** Yes! Use the `search_properties_by_price` tool and provide the minimum price. You can also use the `list_properties` tool with a custom OData `$filter` for more complex criteria. **How do I see which MLS datasets I have access to?** Simply ask the agent to `list_data_systems`. It will return a list of all data sources currently enabled for your server token. **Does the integration provide access to property photos?** Yes. Use the `list_media` tool with the Dataset ID. It will retrieve the media associated with the properties, providing URLs for images and virtual tours.