How to Use the Dotloop MCP in Vercel AI SDK

Q: How do I connect Dotloop to Vercel AI SDK?

Install the @ai-sdk/mcp package to connect your MCP client. Initialize the client using the HTTP URL from Vinkius and pass the tool definitions directly into generateText or streamText in your route handler.

Q: Can the Vercel AI SDK fetch tasks from Dotloop?

Yes, your client calls listlooptasks to retrieve all active checklists and tasks associated with a specific loop. This allows you to render action items directly in your React components.

Q: Does Dotloop support OAuth when using Vercel AI SDK?

Yes, you can configure the SDK with an authProvider to handle OAuth tokens. This ensures each agent acts securely on behalf of the logged-in agent or broker.

Q: How do I list active profiles in Dotloop?

Call listprofiles to retrieve all brokerages, associations, and individual profiles linked to the user account. Your client uses this profile ID to scope subsequent transaction queries.

Get live real estate transaction data directly in your Next.js or React UI using the Vercel AI SDK.

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Connect Dotloop MCP to Vercel AI SDK

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

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Live UI updates via Vercel AI SDK

This MCP Server uses `list_loops` and `get_loop_details` to feed real-time real estate transaction data directly into your frontend application. Instead of forcing users to wait on a loading spinner, your agent streams loop structures and transaction data directly to the browser. You configure the server as an HTTP transport toolset. Your client calls these endpoints during streaming text generation, allowing buyers and sellers to see active files populate on their screens immediately.

Automated participant onboarding

The `add_loop_participant` tool lets your agent inject buyers, sellers, or escrow officers into any active transaction file instantly. It reads contact details from your database and writes them directly into the transaction loop. This removes the manual entry bottleneck when setting up a new deal. Agents verify the updated roster immediately by calling `list_loop_participants` right after the injection.

Instant document and folder audits

You use `list_loop_folders` and `list_folder_documents` to inspect the structure of any real estate transaction file. Your application queries the server to pull down the exact list of files stored inside specific folders. Your client checks these files against a compliance checklist. This MCP integration flags missing items in the UI before closing day.

Setup guide

Set up Dotloop 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 Dotloop 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 Dotloop 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 Dotloop. 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 Dotloop MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package to connect your MCP client. Initialize the client using the HTTP URL from Vinkius and pass the tool definitions directly into `generateText` or `streamText` in your route handler.

Yes, your client calls `list_loop_tasks` to retrieve all active checklists and tasks associated with a specific loop. This allows you to render action items directly in your React components.

Yes, you can configure the SDK with an `authProvider` to handle OAuth tokens. This ensures each agent acts securely on behalf of the logged-in agent or broker.

Call `list_profiles` to retrieve all brokerages, associations, and individual profiles linked to the user account. Your client uses this profile ID to scope subsequent transaction queries.

All transaction details, participant contact info, and document lists stay between your server and the secure API. Vinkius runs the server in an ephemeral sandboxed environment, meaning no real estate files or personal data are stored on our servers.

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