How to Use the Beamer MCP in Vercel AI SDK

Q: Can Vercel AI SDK users see Beamer notifications in real-time?

Yes, use listnotifications within your streamText implementation. The server pushes the list to your frontend, allowing you to display updates as they arrive.

Push Beamer updates and feedback directly into your Vercel AI SDK frontend for live data streaming.

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Connect Beamer MCP to Vercel AI SDK

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

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Manage Beamer posts in Vercel AI SDK

Trigger `create_post` or `update_post` from your Edge Functions. Your UI updates immediately as the AI pushes content to your dashboard. Keep your product changelog current without leaving your code editor. Use `list_posts` to pull active content straight into your React components.

Stream feedback data to Vercel AI SDK

Feed `list_feedback` results into your streaming UI. Your users see feedback entries populate the screen as soon as your agent fetches them. Grab specific details with `get_feedback_details` to populate your custom feedback panels. This MCP Server handles the connection so you skip the manual API glue.

Track Beamer analytics in Vercel AI SDK

Call `get_analytics` to pull raw stats directly into your dashboard visualization. You get real-time data flow without waiting for the next deployment. Monitor performance metrics inside your app's admin view. Your AI client parses the response and renders the charts on the fly.

Setup guide

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

Install the MCP client package and initialize it with your server endpoint. Once linked, you pass the tools into your generateText calls to start interacting with your data.

Yes, use `list_notifications` within your streamText implementation. The server pushes the list to your frontend, allowing you to display updates as they arrive.

The server supports HTTP transport, which fits perfectly with edge runtime constraints. You configure the client once and run your requests during the request lifecycle.

Vinkius handles your authentication token securely. Only your specific client session accesses your private feedback and post records.

Your feedback records stay within your local execution environment during the processing loop. We don't store your sensitive customer comments on our servers after the request finishes.

Use it with your favorite AI tools

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