Vinkius
Mashvisor

Mashvisor MCP for AI. Compare Airbnb vs Long-Term Rental ROI in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Mashvisor MCP on Cursor AI Code EditorMashvisor MCP on Claude Desktop AppMashvisor MCP on OpenAI Agents SDKMashvisor MCP on Visual Studio CodeMashvisor MCP on GitHub Copilot AI AgentMashvisor MCP on Google Gemini AIMashvisor MCP on Lovable AI DevelopmentMashvisor MCP on Mistral AI AgentsMashvisor MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

Mashvisor analyzes real estate investments, letting you compare Airbnb short-term rental ROI against traditional long-term rentals using AI. You can search for properties by location and criteria, calculate cash-on-cash returns, view occupancy rates, and analyze neighborhood demand indicators—all through natural language prompts.

What your AI can do

Get airbnb listings

Retrieves current Airbnb rental listings and associated performance metrics for a target area.

Get airbnb property

Pulls detailed, granular data points on a specific Airbnb listing to verify its market potential.

Get city listings

Gets city-wide market listings by filtering attributes like price history and days on market.

+ 7 more capabilities included
Find Properties by Criteria

Use filters (city, bedrooms, price) to retrieve a list of properties with both Airbnb and long-term rental metrics.

Calculate Investment Returns

Get detailed financial analysis including cap rates and cash-on-cash returns for both short-term and long-term strategies.

Analyze Airbnb Performance

View key metrics like occupancy rate, average daily rate, and monthly revenue projections for specific listings or periods.

Compare Local Neighborhoods

Get comparative investment data across different neighborhoods based on ROI potential and market demand.

Estimate Traditional Rent

Retrieve typical long-term rental rate estimates for properties ranging from 1 to 5 bedrooms.

Included with Plan

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AI Agent

Mashvisor MCP Server: 10 Tools for Real Estate Data Analysis

Use these tools to pull market listings, analyze historical performance data, and run full investment comparisons across different real estate types.

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 Mashvisor on Vinkius

Get Airbnb Listings

Retrieves current Airbnb rental listings and associated performance metrics for a target area.

Get Airbnb Property

Pulls detailed, granular data points on a specific Airbnb listing to verify its...

Get City Listings

Gets city-wide market listings by filtering attributes like price history and days...

Get Historical Performance

Analyzes past Airbnb data, helping predict seasonality and long-term revenue...

Get Investment Analysis

Runs a full investment analysis on a property to calculate key metrics like cap...

Get Property

Retrieves core, detailed information about a specific real estate asset beyond just the market data.

Get Rental Rates

Estimates standard long-term rental rates for properties with 1 to 5 bedrooms using local rent distribution statistics.

List Neighborhoods

Provides investment metrics and comparative data across multiple neighborhoods...

List Properties

Filters the property database by location, bedroom count, and type, returning...

Search Properties

Performs advanced searches across properties using multiple filters to narrow down...

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.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Mashvisor integration is available immediately — no restart needed.

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
Start building

Make Your AI Do More

Start with Mashvisor, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,000+ 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
Mashvisor MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mashvisor. 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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Works with 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 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Figuring out if a property is worth buying shouldn't require jumping between six different tabs.

Today, doing basic due diligence means opening Zillow for price comps, then switching to Airbnb’s site to check occupancy. Next, you jump to an analytics blog just to find historical data. You end up spending two hours copy-pasting numbers into a spreadsheet and hoping your formulas catch all the variables.

With Mashvisor MCP Server, that whole process collapses. You tell your agent: 'Analyze this property.' It runs `get_investment_analysis`, pulls in occupancy rates from `get_airbnb_listings`, and compares it against LTR estimates using `get_rental_rates`. The result is a single, actionable comparison.

Mashvisor MCP Server: Get full investment analysis for any property.

The manual steps that vanish are the cross-checks. You don't have to separately check neighborhood demand indicators, then run a separate query on historical data, and finally compare it all back to your initial listing search. It all happens in one flow.

It's not just about finding listings; it’s about getting the financial answer instantly. This server delivers investment metrics—the numbers that matter—without you having to manage ten different API calls.

What your AI can actually do with this

This server connects Mashvisor's full real estate analytics suite directly to your agent. You can run deep investment models against any potential property, pitting short-term Airbnb income right up against traditional long-term leases.

You don't just get a price; you get the whole market context—including historical performance trends over years. The tools let you sift through data and compare how different types of properties perform in the same area. You can find investment opportunities quickly by using search_properties and list_properties, filtering results across city, state, price range, and bedroom count to narrow down exactly what you need.

To get a broad view of an entire metro area, run get_city_listings. This pulls market listings filtered by attributes like historical price changes and days on market. For a deeper dive into the specifics of a single asset, use get_property to retrieve its core details, or pull granular data points for verification using get_airbnb_property.

When you're ready to crunch numbers, the server handles all the financial heavy lifting. You run get_investment_analysis on any property; it calculates key metrics like cap rates and cash-on-cash returns for both short-term and long-term strategies. To look at past performance—which is crucial for predicting seasonality and sustained revenue patterns—you use get_historical_performance.

This analyzes deep, past Airbnb data to give you a better idea of what's coming.

For local comparisons, the server gives you two ways to view neighborhood potential. You can run list_neighborhoods to compare investment metrics across several areas within one city market, or use get_airbnb_listings for current performance metrics and associated data in a specific target zone. If you're looking at standard income streams, get_rental_rates estimates typical long-term rental rates for properties ranging from 1 to 5 bedrooms using local rent distribution stats.

When you need to focus only on Airbnb potential, get_airbnb_listings pulls current listings and their associated performance metrics. You can also pull specific data for an existing listing with get_airbnb_property to view key metrics like occupancy rates, average daily rate (ADR), and projected monthly revenue. The entire system lets you compare the two major paths: high-yield short-term rentals versus stable long-term leases.

You don't have to manually check every corner of a city; list_properties handles filtering the database by location, bedroom count, and type, returning listings that already include both Airbnb and LTR metrics. You can also get a general sense of what’s available using get_city_listings, which pulls market-wide data points like price history and days on market across the city.

This entire stack means your agent executes complex commands—like asking to compare 3-bedroom properties in Manhattan vs. Brooklyn, calculating potential cash returns for both STR and LTR for each one, and checking historical occupancy rates for all of them. The server processes all that information and sends back structured data ready for your AI client to read and summarize.

Built · Hosted · Managed by Vinkius Mashvisor MCP Server - Analyze Real Estate ROI
Server ID 019d8455-9e5b-7339-8055-4ba66a33d267
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

How do I get a Mashvisor API Key? +

Sign up at Mashvisor, go to your account settings, and generate an API key. API access requires an active subscription.

What investment metrics are available? +

Cap rate, cash-on-cash return, occupancy rate, average daily rate (ADR), monthly/annual revenue, RevPAR, and rental rates for both Airbnb (STR) and traditional (LTR) strategies.

Can I compare Airbnb vs traditional rental income? +

Yes! Every property analysis includes both STR (Airbnb) and LTR (traditional) metrics side by side, including cap rates and cash-on-cash returns for each strategy.

How do I use the `list_properties` tool to filter for specific city or state combinations? +

You pass the target city, state, and minimum/maximum bedroom count directly to the tool. The function returns a list of properties that match those criteria, including both Airbnb and long-term rental metrics for each one.

What data does `list_neighborhoods` provide regarding investment potential? +

The tool gives you market benchmarks and specific ROI data for various neighborhoods. You can compare areas based on demand indicators, helping pinpoint which micro-market yields the best return.

Can I use `get_historical_performance` to analyze seasonal trends? +

Yes, you set a time window of up to 36 months for the analysis. This data shows how Airbnb performance changes over time—for instance, identifying typical low seasons or peak booking periods.

What types of listings can I access using `get_city_listings`? +

get_city_listings lets you filter by listing status. You can search for active properties, distressed assets, or even off-market listings that aren't currently advertised.

If I have a specific property ID, how do I use `get_property`? +

Providing the unique property identifier to get_property retrieves all detailed information for that listing. This includes size, current price, and deep feature details about the asset.

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