InvestorLift MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Get Buy Box, Get Deal, List Deals, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect InvestorLift through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The InvestorLift MCP Server for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using InvestorLift, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every InvestorLift tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK
When Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to wire InvestorLift into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the InvestorLift MCP Server
Vercel AI SDK provides unique advantages when paired with InvestorLift through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same InvestorLift integration everywhere
Built-in streaming UI primitives let you display InvestorLift tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
InvestorLift + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the InvestorLift MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query InvestorLift in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate InvestorLift tools and return structured JSON responses to any frontend
Chatbots with tool use: embed InvestorLift capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with InvestorLift through natural language queries
Example Prompts for InvestorLift in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting InvestorLift to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpInvestorLift + Vercel AI SDK FAQ
Common questions about integrating InvestorLift MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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