How to Use the Brushfire MCP in Vercel AI SDK

Stream Brushfire event data directly into your Vercel AI SDK frontends for real-time guest management.

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Connect Brushfire MCP to Vercel AI SDK

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

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Live check-in updates for Vercel AI SDK

Trigger `check_in_attendee` from your React components to mark guests as arrived the moment they walk through the door. The Vercel AI SDK pushes these updates to your UI without forcing users to refresh their browsers. Your application handles the state change instantly. You stop guessing who is in the room and start seeing the actual count on your dashboard.

Real-time attendee lookup in Vercel AI SDK

Feed `get_attendee` results into your streaming text output to pull specific registration details on demand. Your users get immediate context without waiting for hidden backend processes. This MCP Server provides the raw data your frontend needs to render cards or tables. You build interfaces that feel responsive because the data arrives as the agent speaks.

Event order monitoring via Vercel AI SDK

List all event orders using `list_orders` to surface registration trends within your app. Connect this tool to your streaming logic to display ticket sales as they happen. Your interface displays total volume shifts without bulky polling logic. You keep the user informed with the latest numbers pulled directly from your Brushfire account.

Setup guide

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

Install the MCP client package and point it to your Vinkius endpoint. You initialize the client in your API routes and pass the tool definitions to your streaming function.

Yes. The server handles HTTP communication, which plays nice with edge runtimes. You just need to manage the connection lifecycle in your server-side code.

You can absolutely integrate them into your tool-calling flow. The agent manages the tool execution, and the result streams back to your frontend as a UI component.

The server returns a standard error message that your agent catches. You should write custom error handling in your client logic to notify the user.

Your registration data stays behind your auth token. Vinkius operates a zero-trust sandbox, so only your authenticated agent can touch the attendee records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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