How to Use the Brivo MCP in Vercel AI SDK

Q: How do I trigger a Brivo door release from a Vercel AI SDK interface?

You call the unlockdoor tool within your streaming agent setup. The MCP client executes the command on the Vinkius platform and streams the confirmation back to your React component instantly.

Q: How does Vercel AI SDK handle Brivo rate limits when pulling event logs?

You should throttle requests to listaccessevents inside your stream execution. The SDK lets you handle tool call results sequentially, meaning you can pause or batch calls before rendering them to the user.

Q: What is the cleanest way to display listusers data in my UI?

Use the streamText function to feed the user list directly into a custom UI component. This lets your React frontend render the user profiles as soon as the tool returns the data.

Stream real-time Brivo door status and physical security events directly into your React or Next.js app with Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Brivo MCP to Vercel AI SDK

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

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Stream live Brivo security events using Vercel AI SDK

This MCP Server exposes `list_access_events` to stream live Brivo physical security logs directly to your Vercel AI SDK frontend. When your Vercel AI SDK agent processes the incoming Brivo feed, the React hook renders the actual names from `get_user` as they hit the edge.

Trigger physical door commands directly from the UI

The `unlock_door` tool lets your Vercel AI SDK agent send momentary Brivo door release commands directly from a UI component. Your Next.js UI updates in real-time by calling Brivo's `get_door_status` immediately after the command fires.

Dynamic credential audits in your frontend dashboard

Running `list_credentials` fetches active Brivo cards and passes directly inside your Vercel AI SDK edge route. By mapping these Brivo credentials to active schedules from `list_schedules`, your Vercel AI SDK client returns a single, unified streaming response.

Setup guide

Set up Brivo 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 Brivo 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 Brivo 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 Brivo. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Brivo MCP in Vercel AI SDK

You call the `unlock_door` tool within your streaming agent setup. The MCP client executes the command on the Vinkius platform and streams the confirmation back to your React component instantly.

Yes, the MCP client is fully compatible with edge runtimes. It uses standard HTTP transports to query `list_doors` and `get_door_status` without relying on heavy Node.js libraries.

You should throttle requests to `list_access_events` inside your stream execution. The SDK lets you handle tool call results sequentially, meaning you can pause or batch calls before rendering them to the user.

Use the `streamText` function to feed the user list directly into a custom UI component. This lets your React frontend render the user profiles as soon as the tool returns the data.

Your Brivo API keys never touch the client browser or the Vercel edge function logs. The Vinkius MCP gateway handles the credentials in a secure, zero-trust sandbox, sending only the sanitized JSON payload containing user names and card IDs to your application.

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