# Bridge Data Output MCP MCP > Bridge Data Output gives your AI agent direct access to standardized commercial real estate data via the Bridge API. It lets you browse thousands of MLS listings, analyze detailed property metadata, and look up agent information using natural conversation. Stop exporting CSVs; start asking questions. ## Overview - **Category:** real-estate - **Price:** Free - **Tags:** mls-data, property-listings, odata, real-estate-data, market-analysis, property-records ## Description Need market intel but hate dashboard exports? This MCP connects your AI client straight into a massive pool of real estate data. You can run deep research workflows—from checking local market trends to analyzing specific property details—all without ever touching an API key or writing complex queries yourself. Your agent handles the heavy lifting. Need to see what MLS datasets are available in your area? Just ask. Want to find properties above a certain price point, or track recent listings? It's all there. When you connect this MCP through Vinkius, you give your AI client immediate access to professional-grade data systems, letting you focus on the analysis, not the plumbing. ## Tools ### get_dataset_metadata Retrieves the technical schema information for a specific real estate dataset. ### get_property Gets detailed metadata and records for one specific property listing. ### list_data_systems Lists all the available real estate data systems (MLSs) you can access. ### list_media Retrieves links to photos, videos, and other media associated with a property listing. ### list_members Lists the real estate agents (members) connected to a specific data source. ### list_offices Retrieves records for brokerage offices associated with a dataset. ### list_properties Lists multiple properties from an entire specified data set. ### list_recent_listings Pulls records for properties that have been recently modified or updated in the dataset. ### search_properties_by_city Finds and lists all available properties within a specified city name. ### search_properties_by_price Filters for properties that fall above a specific minimum price threshold. ## Prompt Examples **Prompt:** ``` List all real estate data systems I can access. ``` **Response:** ``` I've retrieved your data systems. You have access to several sources, including 'Miami Realtors MLS' (ID: miami_mls) and 'Zillow Property Feed' (ID: zillow_data). ``` **Prompt:** ``` Search for properties in Miami with a price over $1,000,000. ``` **Response:** ``` Retrieving listings in Miami... I found 10 properties above $1M, including a 4-bed condo on Brickell Ave ($1.2M) and a waterfront estate ($3.5M). Would you like full details for any of these? ``` **Prompt:** ``` Get details for property listing key 12345-6789. ``` **Response:** ``` Property 12345-6789 is a Single Family Home located at 742 Evergreen Terrace. It features 3 bedrooms, 2 bathrooms, 2,500 sqft, and was last modified on March 20th. ``` ## Capabilities ### Identify available MLS sources Lists every real estate data system (MLS) that can be queried for properties or agents. ### Search listings by location and price Filters property records based on a specific city or a defined minimum price range. ### Get full details on one property Retrieves deep metadata for a single listing, including its physical characteristics and historical values. ### List associated agents and offices Pulls names and records for real estate agents or the brokerage offices linked to a dataset. ### Find listing media Gathers links to high-resolution photos, virtual tours, and other media associated with properties. ## Use Cases ### Comparing local market inventory An analyst needs to compare listings between two competing MLS feeds. They tell their agent: 'Run `list_data_systems` and then use the resulting IDs to run `list_properties` for both sources.' This quickly gives them a side-by-side view of current market inventory. ### Validating an investment target An investment team member finds a property address and needs to know its full history. They use `get_property` with the key, retrieving everything from bedrooms count to last modification date. This validates if it's worth deeper investigation. ### Finding niche listings A client only wants waterfront condos over $2 million. The agent uses `search_properties_by_city` first, then filters the resulting list using `search_properties_by_price`. This narrows down the search faster than any dashboard. ### Building a team directory A developer needs to know who handles listings in a specific area. They use `list_members` and `list_offices` for a given dataset ID, building a complete roster of the agents and brokerages involved. ## Benefits - Stop manual exports. Instead of downloading a CSV to check for price ranges, you can simply ask your agent using `search_properties_by_price` to filter results on the fly. - Go deeper than surface data. Use `get_property` to pull deep metadata—like physical characteristics or historical values—for any single listing instantly. - Understand your data source first. Running `list_data_systems` shows you exactly which MLS feeds are available before you write a single query. - Keep track of market changes effortlessly. The `list_recent_listings` tool lets you see what's been updated in the last few days, so you don't miss a key opportunity. - Get all assets together. If you need photos or virtual tours for a listing, running `list_media` gets you direct links without navigating photo galleries. ## How It Works The bottom line is: you talk to your AI client, and it talks to the real estate database for you. 1. Subscribe to this MCP and provide your required Bridge Server Token (Bearer). 2. Connect the MCP to your preferred AI client (Claude, Cursor, etc.). 3. Ask your agent a natural language question, like 'List properties in Miami over $1 million,' and get structured data back. ## Frequently Asked Questions **How do I start accessing listings with Bridge Data Output MCP?** You need to subscribe and provide your Bridge Server Token first. Then, just ask your AI client for what you want; the agent handles connecting the token automatically. **Can I find all available MLS sources using list_data_systems?** Yes, running `list_data_systems` gives you a comprehensive inventory of every data system your application has access to. This is the best place to start if you don't know what data exists. **What information does get_property retrieve?** Running `get_property` pulls deep, specific metadata for a single listing. It includes physical characteristics and historical values beyond just the basic price and address. **How do I search properties by city using Bridge Data Output MCP?** You use the dedicated `search_properties_by_city` tool. Just tell your agent which city you're interested in, and it handles the filtering for you. **Is list_members useful for a developer?** Yes, developers use `list_members` to test data structures by pulling real estate agents associated with known datasets. It verifies that agent records are structured correctly. **What does get_dataset_metadata show me about a dataset's structure?** It returns the full schema, detailing every field available in that specific MLS. You can use this first to write precise queries without having to guess column names or data types. **If I have a property ID, how do I find all associated media using list_media?** It provides direct links to high-resolution photos and virtual tour assets. This is critical for building comprehensive listing pages that include rich visual content. **What information does list_recent_listings provide for market monitoring?** This tool lists properties that have been modified most recently across the dataset. It helps analysts track quick price changes or new listing additions in a specific area over time. **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.