How to Use the InvestorLift MCP in Mastra AI

Q: Can Mastra AI handle complex logic with InvestorLift deals?

Absolutely, you can build conditional branches that run getdeal and decide whether to proceed with an offer based on the specific property data returned.

Q: Is there a way to verify InvestorLift messages in Mastra AI?

The sendmessage tool returns a confirmation status. You can use this in your workflow to trigger a follow-up or log the interaction in your database.

Build resilient real estate workflows with Mastra AI and the InvestorLift MCP Server for automated deal sourcing.

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Connect InvestorLift MCP to Mastra AI

Create your Vinkius account to connect InvestorLift to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup InvestorLift with Mastra AI

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Automated deal pipelines in Mastra AI

Chain `list_deals` into your agent workflows to scan for new opportunities. Mastra handles the execution, allowing you to build logic that filters properties based on your specific investment goals. If a deal meets your criteria, the workflow moves to the next step. You define the logic, and the agent handles the heavy lifting of data ingestion.

Error-resilient buy box updates

Use `update_buy_box` within your Mastra agents to adjust your target metrics dynamically. The framework's retry logic ensures that if a network glitch occurs, the update attempt persists until successful. Verify your current settings with `get_buy_box` as a precondition in your workflow. This prevents your agents from acting on stale or incorrect parameters.

Programmatic seller outreach

Integrate `send_message` into your automated response sequences. Your Mastra agents can reach out to sellers the moment a matching deal appears in the marketplace. This keeps your acquisition speed high. You can set conditional triggers to ensure messages only go out when a property hits your exact requirements.

Setup guide

Set up InvestorLift MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All InvestorLift tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "investorlift-mcp-client",
  servers: {
    "investorlift-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "InvestorLift Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to InvestorLift tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent InvestorLift transactions"
);
console.log(result.text);

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Common questions about InvestorLift MCP in Mastra AI

Register the server in your Mastra config file using the provided endpoint URL. Once connected, your agents can access all five tools as native functions.

Absolutely, you can build conditional branches that run `get_deal` and decide whether to proceed with an offer based on the specific property data returned.

The `send_message` tool returns a confirmation status. You can use this in your workflow to trigger a follow-up or log the interaction in your database.

Mastra handles retries at the framework level. If a tool call fails, the agent can automatically re-attempt the request based on your configuration.

The server uses a zero-trust model where every request is validated via your endpoint token. Your deal search history and seller communication logs are not retained by the system.

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