InvestorLift MCP Server for Mastra AIGive Mastra AI instant access to 5 tools to Get Buy Box, Get Deal, List Deals, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect InvestorLift through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The InvestorLift MCP Server for Mastra AI is a standout in the Real Estate category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"investorlift": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "InvestorLift Agent",
instructions:
"You help users interact with InvestorLift " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with InvestorLift?"
);
console.log(result.text);
}
main();
* 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
About 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.
Mastra's agent abstraction provides a clean separation between LLM logic and InvestorLift tool infrastructure. Connect 5 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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.
The InvestorLift MCP Server exposes 5 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 InvestorLift tools available for Mastra AI
When Mastra AI connects to InvestorLift through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-estate-investing, deal-sourcing, off-market-deals, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get buy box on InvestorLift
Get your current buy box criteria
Get deal on InvestorLift
Get detailed information about a specific deal
List deals on InvestorLift
List available deals in the marketplace
Send message on InvestorLift
Send a message to a seller regarding a specific deal
Update buy box on InvestorLift
Update your buy box criteria
Connect InvestorLift to Mastra AI via MCP
Follow these steps to wire InvestorLift into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the InvestorLift MCP Server
Mastra AI provides unique advantages when paired with InvestorLift through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add InvestorLift without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every InvestorLift tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
InvestorLift + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the InvestorLift MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query InvestorLift, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed InvestorLift as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query InvestorLift on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using InvestorLift tools alongside other MCP servers
Example Prompts for InvestorLift in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with InvestorLift immediately.
"List all available deals in Houston, Texas with a maximum price of $300,000."
"What are my current investment criteria in my buy box?"
"Send a message to the seller of deal 98765 saying I am interested in a cash offer."
Troubleshooting InvestorLift MCP Server with Mastra AI
Common issues when connecting InvestorLift to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpInvestorLift + Mastra AI FAQ
Common questions about integrating InvestorLift MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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