RentCast MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Get Property By Id, Get Property Details, Get Rental Comparables, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect RentCast 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 App Connector for Vercel AI SDK
The RentCast app connector for Vercel AI SDK is a standout in the Real Estate category — giving your AI agent 8 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 RentCast, 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 RentCast MCP Server
Connect your RentCast account to any AI agent and simplify your real estate investment analysis and property data orchestration through natural conversation.
The Vercel AI SDK gives every RentCast tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Property Intelligence — Fetch complete records for any US address, including owner info, tax history, and structural details
- Rent & Sale AVMs — Generate real-time rental price estimates and property valuations using advanced market models
- Market Trends — Query aggregate trends for any ZIP code, including average rents, occupancy rates, and occupancy levels
- Rental Listings — Access current active rental listings to understand local competition and inventory
- Investment Tracking — Monitor your portfolio values and local market conditions directly from your agent
The RentCast MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 RentCast tools available for Vercel AI SDK
When Vercel AI SDK connects to RentCast through Vinkius, your AI agent gets direct access to every tool listed below — spanning property-data, rental-valuation, market-trends, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get property details by ID
Get property data by address
Get comparable rental properties
Get rental price estimate (AVM)
Get comparable sale properties
Get property sale valuation
List active rental listings
Get market trends by ZIP code
Connect RentCast to Vercel AI SDK via MCP
Follow these steps to wire RentCast into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 RentCast MCP Server
Vercel AI SDK provides unique advantages when paired with RentCast 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 RentCast integration everywhere
Built-in streaming UI primitives let you display RentCast 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
RentCast + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the RentCast MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query RentCast in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate RentCast tools and return structured JSON responses to any frontend
Chatbots with tool use: embed RentCast capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with RentCast through natural language queries
Example Prompts for RentCast in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with RentCast immediately.
"Get property details for 123 Main St, Los Angeles, CA."
"Get the rental valuation and comparable properties for 123 Oak Street, Austin, TX 78701."
"Show me the real estate market trends for ZIP code 78701 over the last 12 months."
Troubleshooting RentCast MCP Server with Vercel AI SDK
Common issues when connecting RentCast to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRentCast + Vercel AI SDK FAQ
Common questions about integrating RentCast 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.