InvestorLift MCP. Find Deals, Set Rules, Talk to Sellers.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
InvestorLift automates real estate deal sourcing by connecting your AI agent directly to a live marketplace API. Use this MCP to list thousands of off-market deals, instantly analyze property data against your custom investment rules, and send direct messages to sellers—all without leaving your chat window.
What your AI agents can do
List deals
Searches the marketplace to list all available properties based on geographical location and price filters.
Get buy box
Retrieves the current investment parameters and criteria set for your purchasing goals.
Get deal
Fetches detailed data, including metadata and pricing, for a single specific property listing.
List available properties in a specific area by applying filters for location and maximum price.
Retrieve detailed information, including pricing and metadata, for any single property ID.
Update your personal buying criteria—like target ROI or preferred zip codes—so the AI knows what to look for next.
Retrieve and confirm the precise investment rules the system is currently using for filtering deals.
Send a direct, contextual message to any seller regarding a specific deal ID.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 CompatibleWaiting for input…
InvestorLift: 5 Deal Sourcing Tools
These tools let you list market deals, check property details, manage criteria, and send messages—all through natural conversation.
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 InvestorLift on Vinkius019e38aelist deals
Searches the marketplace to list all available properties based on geographical location and price filters.
019e38aeget buy box
Retrieves the current investment parameters and criteria set for your purchasing goals.
019e38aeget deal
Fetches detailed data, including metadata and pricing, for a single specific property listing.
019e38aesend message
Sends a direct, contextual message from you to a seller about a specific property deal.
019e38aeupdate buy box
Changes or sets new investment criteria (like target ROI or zip codes) that the system uses for filtering deals.
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 InvestorLift, 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
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by InvestorLift. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 server provides 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Sourcing deals means constant clicking and juggling spreadsheets.
Today's process is a nightmare: You open the marketplace, filter by location. Then you export those results to Excel. If you find a deal that looks promising, you have to copy its ID into your CRM, then open another tab just to get deep pricing metadata for analysis. It’s ten minutes of clicking and copying just to build one solid picture.
With this MCP, it's different. You simply ask your agent to list deals in a location, filter by price, and check the data on any result using `get_deal`. The system handles the filtering and the deep pulls; you just get the answer.
Sending messages with InvestorLift MCP
The manual step that vanishes is drafting a message from scratch. You can't just say, 'Hey.' The seller needs to know which deal you mean and why you are reaching out.
Now, when you use the `send_message` tool, your agent packages everything up—the Deal ID, the context of your interest, and your specific question—and sends it. It's one single conversational step that replaces multiple manual data points.
What you can do with this MCP connector
Managing real estate investments means constantly sifting through listings and talking to wholesalers, which is usually a massive headache. With this connector, you tell your agent what criteria matter (e.g., single-family homes in Florida with 12% ROI), and it handles the rest. You can ask the system to pull all available deals matching those exact parameters, or dig into specific properties for deep data insights.
Need to talk to a seller about a deal? Just tell your agent to send a message; no need to copy names or log into another portal. This whole setup is managed through Vinkius's catalog, giving your AI client access to the entire toolset right where you work.
019e38ae-a373-7398-b7e0-ef3e1f584b6c How InvestorLift MCP Works
- 1 Subscribe to this MCP and enter your InvestorLift API Key.
- 2 Your AI agent connects the credentials and verifies access to the marketplace data.
- 3 You prompt your agent with a request (e.g., 'Find deals in Miami under $500k'), and it executes the search using
list_deals.
The bottom line is that you treat property sourcing and negotiation like any other conversation with your AI client, eliminating the need for manual platform logins.
Who Is InvestorLift MCP For?
This MCP is built for the active real estate professional—the investor who runs operations from a laptop, not an office desk. If you spend too much time copy-pasting data or switching between five different browser tabs to find one deal, this is for you.
Uses the MCP to quickly source deals matching specific investment rules (ROI, price range) and checks their current criteria using get_buy_box before beginning a search.
Needs to analyze market inventory fast. They use this MCP to list available deals across multiple locations and then send messages via send_message when they find an angle on a specific property.
Pulls raw, structured property data into their analysis tools by calling get_deal, allowing them to build reports without manual web scraping.
What Changes When You Connect
- You never have to manually filter listings again. Just ask your agent to use
list_dealsand specify the location and price range, and you get a clean list of options right in your chat window. - Forget guessing if your investment criteria are up to date. Use
get_buy_boxto instantly confirm the system's current rules for ROI or property type before you even start searching. - If you find a promising deal, you don't have to switch apps to ask questions. Using
send_messagesends a contextual message directly to the seller from your workflow. - Need to pivot your strategy? Instead of manually changing spreadsheets, calling
update_buy_boxinstantly adjusts all future searches and analyses to match your new target criteria. - Analyzing data for one property shouldn't be a hassle. The agent can use
get_dealto pull all the deep metrics you need on a specific listing without leaving the conversation.
Real-World Use Cases
Need to find deals in a new zip code.
I want to see every available property in Phoenix, AZ under $400k. Agent: Use list_deals for Phoenix, filtering by max price $400k. The agent returns 12 potential listings with key stats.
The target ROI changed mid-week.
My investment goals shifted from 8% ROI to 15%. Agent: Use update_buy_box and set the minimum ROI to 15%. Now, any subsequent deal search will automatically filter out properties that don't meet this new threshold.
Need details on a specific property ID.
I saw Deal ID 98765. What are the full specs and pricing? Agent: Use get_deal with ID 98765. The agent provides deep metadata, helping me decide if I need more information.
Found a good listing but need to talk to the seller.
I'm interested in Deal ID 1234 and want to know about cash offers. Agent: Use send_message for deal 1234, stating I am ready for a cash offer. The agent sends the message immediately.
The Tradeoffs
Assuming all data is visible.
I just list deals and assume they have pricing details. But wait, where's the full metadata?
→
First, use list_deals to get a general view, then use get_deal on a specific ID to pull all the deep metrics you need.
Mixing up criteria checks.
I updated my buy box settings but I'm not sure if the agent actually saved them. Did it stick?
→
Always confirm your rules first. Run get_buy_box to read out the exact parameters the system is using before relying on them.
Messaging without context.
I just send a generic message saying 'Hi.' The seller has no idea which deal I mean.
→
Always pair send_message with the specific Deal ID. This makes sure your conversation is contextual and actionable.
When It Fits, When It Doesn't
Use this MCP if you need to manage a continuous, multi-step process: Find listings -> Check criteria -> Get details -> Talk to sellers. It's ideal for structured deal sourcing workflows.
Don't use it if your only goal is simple data retrieval or viewing external reports that don't involve communication. If you just need to read a static document or analyze a file outside of the marketplace context, those specialized tools are better suited. This MCP excels at integrating real-time market data and action (messaging) into one conversational flow.
Common Questions About InvestorLift MCP
How do I find deals in a certain area using list_deals? +
You prompt the agent with your location and price limits. The system uses list_deals to search the marketplace, giving you all properties that match those filters.
What does get_buy_box do for my investment criteria? +
It immediately tells you what rules your agent is currently using. This is useful because it confirms whether or not you need to run update_buy_box first.
Can I analyze a deal without knowing the ID? (get_deal) +
No, get_deal requires a specific property ID. You must first use list_deals to get a list and then select an ID to run the detailed analysis.
If I change my investment rules, do I need to re-run anything? (update_buy_box) +
After running update_buy_box, you should immediately run get_buy_box afterward. This confirms the new parameters are active and ready for use in future searches.
What is required to authenticate my account before running any tool, like list_deals? +
You must provide a valid InvestorLift API Key during setup. This key authorizes your AI client to access the marketplace tools. If the connection fails, always check your credentials first.
If I use get_deal for an ID that is invalid or expired, what kind of error do I receive? +
The tool returns a specific 'Deal Not Found' status instead of crashing. Your agent can then read this structured response and notify you immediately that the property data isn't available.
Are there rate limits when calling list_deals repeatedly in a single session? +
Yes, standard API usage quotas apply to prevent abuse. The system monitors your calls and will prompt you if you approach your daily limit. Check the documentation for specific quota details.
Are there character limits or restrictions when I use send_message? +
Messages must be reasonably concise, typically within 500 characters. The system filters out spam and highly restricted content types before sending it to the seller.
How can I filter real estate deals by a specific city and price range? +
You can use the list_deals tool. Simply provide parameters like city, min_price, and max_price to narrow down the marketplace results to your specific needs.
Can I update my investment criteria so the AI finds better matches? +
Yes! Use the update_buy_box tool to send a JSON object containing your updated criteria. This helps the system align deal discovery with your investment strategy.
Is it possible to contact a seller directly through the AI? +
Absolutely. Use the send_message tool by providing the deal_id and your message text. The AI will deliver your inquiry to the seller regarding that specific property.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.