Bring Real Estate Investing
to Google ADK
Learn how to connect InvestorLift to Google ADK and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the InvestorLift MCP Server?
Connect your InvestorLift account to any AI agent to streamline your real estate investment workflow. Find off-market deals, analyze property data, and communicate with wholesalers through natural language.
What you can do
- Marketplace Access — Browse and filter thousands of real estate deals using
list_dealsby location and price. - Deal Analysis — Get deep insights into specific properties, including pricing and metadata, with
get_deal. - Investment Strategy — Retrieve and update your
buy_boxcriteria to ensure the AI understands your target ROI and preferred locations. - Direct Communication — Use
send_messageto start negotiations or ask questions to sellers immediately.
How it works
- Subscribe to this server
- Enter your InvestorLift API Key
- Start sourcing and managing real estate deals from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Real Estate Investors — quickly find deals that match your specific criteria without manual searching
- Wholesalers & Agents — analyze market inventory and communicate with sellers directly from your workflow
- Investment Analysts — pull property data into your analysis tools via AI conversation
Built-in capabilities (5)
Get your current buy box criteria
Get detailed information about a specific deal
List available deals in the marketplace
Send a message to a seller regarding a specific deal
Update your buy box criteria
Why Google ADK?
Google ADK natively supports InvestorLift as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with InvestorLift
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine InvestorLift tools with BigQuery, Vertex AI, and Cloud Functions
InvestorLift in Google ADK
InvestorLift and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect InvestorLift to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for InvestorLift in Google ADK
The InvestorLift MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 5 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
InvestorLift for Google ADK
Every tool call from Google ADK to the InvestorLift MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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