How to Use the DealMachine MCP in Vercel AI SDK

Q: Can Vercel AI SDK trigger DealMachine property searches?

Yes. The searchleadsbyaddress tool handles partial string matches for addresses and owner names. Your agent can take a sloppy user input and resolve it to a specific property record.

Q: Does Vercel AI SDK support adding new leads to DealMachine?

Yes, it works perfectly. You just expose the addnewlead tool to your generative function. The system will save the property address and kick off the owner identification process.

Build live real estate dashboards. Stream DealMachine property data directly into your Next.js frontend with Vercel AI SDK.

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Connect DealMachine MCP to Vercel AI SDK

Create your Vinkius account to connect DealMachine to Vercel AI SDK 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 DealMachine with Vercel AI SDK

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Stream property details with Vercel AI SDK

Live mortgage history flows into your app through the `get_property_details` tool. Hooking this up to Vercel AI SDK lets your agent evaluate estimated equity on the fly. The framework streams that response straight into your React components without making anyone stare at a loading spinner. Lead capture forms get much easier when the `add_new_lead` tool handles the heavy lifting. It persists new records while simultaneously firing off property data resolution. Your frontend updates instantly as owner identification finishes in the background.

Surface active marketing campaigns

Real estate agents need the `list_marketing_campaigns` tool to see send dates and recipient counts. Exposing this gives your AI client access to actual mailer performance. You can render those engagement metrics directly in a Vue or Svelte dashboard. Specific marketing actions tied to an address surface via the `get_lead_details` tool. Digging into lead history requires exactly this kind of context. Vercel's edge compatibility means this data fetch happens fast enough to keep the UI feeling snappy.

Manage DealMachine MCP Server limits

Status widgets rely on the `get_account_details` tool to check subscription plans and balance limits. Running out of credits mid-campaign ruins the whole day. Developers can configure the agent to monitor organizational settings and warn the user before they hit a wall. Workspace management depends on the `list_driving_teams` tool to pull active drivers and their roles. Finding out who is out scouting properties is a common requirement. Just pass the tools via `mcpClient.tools()` and let the generative text function handle the formatting.

Setup guide

Set up DealMachine MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all DealMachine tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent DealMachine transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DealMachine. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DealMachine MCP in Vercel AI SDK

Install both the ai and @ai-sdk/mcp packages via npm. Create the connection using createMCPClient with an HTTP transport pointing to your Vinkius endpoint. Pass the resulting mcpClient.tools() into your streamText call.

Yes. The search_leads_by_address tool handles partial string matches for addresses and owner names. Your agent can take a sloppy user input and resolve it to a specific property record.

Yes, it works perfectly. You just expose the add_new_lead tool to your generative function. The system will save the property address and kick off the owner identification process.

Always call mcpClient.close() when your edge function finishes. Leaving connections hanging wastes resources. The SDK needs a clean shutdown after streaming the final chunks to the client.

This integration accesses highly sensitive owner contact details, mortgage information, and deed history. Vinkius runs the server inside a zero-trust V8 Isolate Sandbox. You control exactly which tools your application exposes to ensure private equity data stays secure.

Use it with your favorite AI tools

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