SimplyRETS MCP for AI. Query live MLS data and market analytics instantly.
Works with every AI agent you already use
…and any MCP-compatible client








How this MCP server connects to your AI agent
SimplyRETS connects your AI agent directly to live MLS real estate data. It lets you search for listings by location or price using `list_properties`, pull deep details on specific properties with `get_property`, and analyze market trends using property analytics tools.
Stop clicking through separate database portals; query all this structured, current real estate information in natural language.
What AI agents can do with SimplyRETS Automation
List agents
Lists contact and profile information for real estate agents tied to the MLS feed.
Get property
Fetches complete details, including features and school data, for one specific property listing ID.
List open houses
Retrieves a list of scheduled open house events, including dates and times, from the local listings.
Lists multiple properties that match criteria like location, price, or MLS identifiers.
Retrieves all available metadata, features, and school district information for a single listing ID.
Calculates and returns data-driven insights and performance metrics based on property listings in a specified area.
Lists all upcoming open house events, including dates and times across the MLS feed.
Pulls contact information and details for real estate agents associated with listings.
Retrieves the available data context, such as supported cities or property types, to guide your queries.
Ask an AI about this
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What AI agents can do with SimplyRETS: 6 Tools for Real Estate Analysis
These six tools allow you to search listings, analyze market trends, fetch property histories, and find local agents—all through a unified chat interface.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using SimplyRETS on VinkiusList Agents
Lists contact and profile information for real estate agents tied to the MLS feed.
Get Property
Fetches complete details, including features and school data, for one specific...
List Open Houses
Retrieves a list of scheduled open house events, including dates and times, from the...
List Properties
Searches or filters property listings based on criteria like location, price range...
Get Property Analytics
Generates performance metrics and comparative analytics for a set of properties or...
Get Property Metadata
Retrieves the structural data context, such as available city codes or property status types, within the feed.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with SimplyRETS, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SimplyRETS. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 6 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Manual property research takes forever. You jump between Zillow, MLS portals, and neighborhood reports., Solved with Vinkius AI Gateway
Right now, finding reliable property information is a nightmare of clicking through different tabs and databases. You start on one site for listings, switch to another for school data, and then open a third portal just to find out if the house has an open house scheduled this weekend. It’s slow, it's fragmented, and you always lose context.
With SimplyRETS MCP Server, that process collapses into a single chat window. You ask your agent: 'Show me all properties over $700k with attached garages in the 90210 zip code.' The system runs `list_properties` and immediately gives you a filtered list that has already pulled deep data via `get_property` for quick reference.
SimplyRETS MCP Server: Get property details with get_property.
Used to find a listing you liked, but then had to manually sign up on the MLS site just to see if it had specific features—like solar panels or an attached garage. You'd spend five minutes clicking through menus and paying for limited access just to verify one detail.
Now, running `get_property` is instant. Give your agent the MLS ID, and it pulls every available feature and school rating in seconds. It’s simple: you get all the data points without leaving your chat.
What your AI can actually do with this
SimplyRETS connects your AI agent directly to live MLS data. You don't gotta click through a dozen separate database portals anymore. You just talk to the system and tell it what you need; your agent handles pulling all that structured, current real estate intel for ya.
Searching and Filtering Listings
You can use list_properties to search or filter listings by criteria like location, price range, or MLS identifiers. This tool lets you instantly pull a list of properties that match your exact needs, whether you're scouting an area or tracking down specific IDs across the feed.
Getting Full Property Details
Need every damn detail on one house? Running get_property pulls comprehensive data for any single listing ID. This isn't just a basic description; it gives you all the metadata, features, and even school district information tied to that specific property.
Analyzing Market Performance
Don't just look at houses—you gotta understand what the market's doing. You can run get_property_analytics to generate performance metrics and comparative data for a set of properties or an entire area, giving you actionable insights. Before running those big reports, you might need context; get_property_metadata retrieves the structural data—like available city codes or supported property status types—so your queries are always accurate.
Checking Schedules and Agents
You'll never miss a viewing because using list_open_houses pulls all scheduled open house events, complete with dates and times across the entire MLS feed. If you need to talk to someone about it, you can use list_agents to pull contact information and detailed profiles for every real estate agent tied to the listings.
How It Works
Your AI client handles all the heavy lifting. Instead of manually cross-referencing data sources, your agent first checks the available market context using tools like get_property_metadata, which tells you exactly what kind of cities or property types are supported in the feed. You can then narrow down your search with list_properties based on location, price range, or MLS ID to get a filtered list of matches.
For deep research, if you pinpoint a specific listing, running get_property gives you everything—the features, the school data, the full rundown. If you're looking at trends across an area, generating market reports is easy with get_property_analytics, which calculates performance metrics and comparative analytics for that region. You can check upcoming showings by pulling all open house events via list_open_houses or get direct contact info for agents through list_agents.
Every tool works together to pull the complete picture of the current real estate landscape.
019ea606-d2c0-710f-be11-612e7d6163dc Here's how it actually works
The bottom line is that your AI client acts as the direct query layer between your natural language questions and the structured real estate database.
Subscribe to this server on Vinkius and input your SimplyRETS API Key and Secret.
Instruct your AI client to perform a task (e.g., 'Find all listings over $800k in Austin').
The agent runs the necessary tools (list_properties, get_property), pulls the live MLS data, and provides you with a formatted answer.
Who is this actually for?
This is for professionals who deal with property data constantly. Think of the real estate agent stuck clicking through dozens of listing sites, or the data analyst forced to manually cross-reference neighborhood statistics. If your job involves knowing more about a property than just its address, you need this.
Quickly checks if a specific listing has open house dates or pulls up all the deep details on a property's school district and features without leaving their chat window.
Runs bulk queries to extract market metadata (like available zip codes or common property types) and generates performance analytics for neighborhood comparisons.
Needs a centralized way to check agent contact information (list_agents) and pull reports on local inventory without sending out mass emails requesting data.
What Changes When You Connect
Find listings faster. Instead of browsing through dozens of search tabs, use list_properties to filter properties by exact parameters—like a specific price range or zip code—and get immediate results in your chat window.
Deep dive into single listings. When you find a promising property, don't waste time opening multiple browser tabs. get_property pulls every detail, including school district ratings and unique features, immediately.
Know the local market metrics. The get_property_analytics tool lets you move beyond listing prices to understand viewings trends and neighborhood performance—essential for advising a client.
Manage contacts easily. Never manually search for an agent's number again. Use list_agents to pull up professional contact information directly from the MLS feed when needed.
Stay updated on showings. Need to know which properties are open this weekend? list_open_houses gives you a clean list of dates and times across your target area.
See it in action
Client Needs Full Property History
A client loves a house but needs to know its history. Instead of calling the agent or checking three different websites, you ask your agent: 'What are the school ratings and full details for MLS ID 123456?' The agent runs get_property and gets all the structured data in one go.
Finding Availability for a Weekend Trip
You're organizing a showing tour. Instead of calling three different agents to check their calendars, you ask: 'Show me all open houses near downtown this weekend.' The agent runs list_open_houses and gives you a consolidated schedule.
Researching Market Trends in a Neighborhood
A client wants to buy in a new area but isn't sure if it’s stable. You ask the agent to run get_property_analytics on that neighborhood. The tool returns data showing viewings trends and average price changes, helping you advise confidently.
Filtering Out Unwanted Listings
You need 10 listings in a specific zip code but only want ones priced under $650k. You tell your agent to run list_properties with the precise parameters, skipping all the manual filtering steps and getting a clean list of relevant options.
The honest tradeoffs
Asking for general 'real estate data'
Writing to your agent: 'I need some real estate info on Houston homes.' This is too vague and won't trigger any specific tools.
Be precise. Use the tool names or parameters you know work, like: 'Use list_properties to find properties in Houston between $400k and $600k.' Specificity makes it actionable.
Trying to pull data from external websites
Asking your agent to 'Go look at Realtor.com for me' or 'Check the local MLS website.' Your AI client can only use defined tools.
You must reference the available tool. For listings, use list_properties. If you need a single deep dive, use get_property and provide the ID.
Confusing listing search with market context
Asking: 'What are the best types of homes in this city?' This requires background data that isn't just a list.
Use get_property_metadata to understand what kind of contextual data is available (e.g., supported property statuses), then use that knowledge when running list_properties.
When It Fits, When It Doesn't
Use SimplyRETS if your core need is querying structured, live MLS data for properties, agents, or open houses. You'll want it when you need to compare market metrics (using get_property_analytics) or filter a large set of listings by specific criteria (using list_properties). Don’t use this if all you need is general web information that doesn't come from the MLS feed—for example, finding out what day the local coffee shop has new pastries. For simple text generation or summarizing documents unrelated to real estate, your standard LLM client is fine. If you just want a basic database lookup without needing advanced filtering (like by price range), check if there’s a simpler, dedicated data connector tool available first.
Questions you might have
How do I use list_properties to search for a price range? +
You specify the criteria directly when asking your agent. You tell it, 'Use list_properties to find all listings between $500k and $750k.' The tool handles the filtering logic for you.
What is the difference between list_open_houses and list_properties? +
They serve different purposes. list_properties gives a general search of available homes based on criteria. list_open_houses specifically pulls only scheduled open house events for that area.
Do I need to know the MLS ID to get_property details? +
Yes, you must provide the specific listing identifier (the MLS ID) when running get_property. The tool needs a unique reference point to pull the full data set.
Can I use list_agents if I don't have a property ID? +
Yes, you can. You simply ask your agent to run list_agents when you need contact information or profiles for agents in a specific geographical area.
How do I authenticate my AI client when using list_properties? +
You must provide your SimplyRETS API Key and Secret during server setup. The system validates these credentials before it runs any search, ensuring secure access to the live MLS data.
What should I do if my call to get_property_analytics fails due to rate limiting? +
Wait 60 seconds and try the query again. The server responds with a specific HTTP 429 error code when limits are hit, letting your AI client know exactly what's wrong.
How do I check all possible property statuses using get_property_metadata? +
The tool returns a structured list of valid status codes, including 'Active', 'Pending', and 'Sold'. You can use this data to refine your search criteria perfectly.
Does list_agents provide contact details for non-MLS affiliated agents? +
No. The agent list is strictly limited to MLS registered professionals and their associated official listing data. The feed only contains verified, authorized information.
Can I search for properties in a specific city or area? +
Yes. Use the list_properties tool with the q parameter to search for specific locations, or use points for a geospatial polygon search.
How do I get the full details of a listing if I have the MLS ID? +
Simply provide the MLS ID to the get_property tool. It will return comprehensive metadata including price, features, and property history.
Can I see which agents are listed in the feed? +
Yes, the list_agents tool retrieves agent information directly from the MLS feed, allowing you to see contact details and affiliations.
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