How to Use the Assembly MCP in Vercel AI SDK

Q: Can Vercel AI SDK stream Assembly notes directly to my UI?

Yes. When the model triggers getnote, the text streams chunk-by-chunk to your frontend. Your React components will render the note text exactly as it arrives.

Connect Assembly directly to your React app using Vercel AI SDK. Stream workspace data and notes straight to the user interface.

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…and any MCP-compatible client

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Connect Assembly MCP to Vercel AI SDK

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

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Render Workspaces Live with Vercel AI SDK

Your frontend users don't want to wait for a loading spinner. When you hook up this MCP server, your application pulls Assembly company profiles and workspace directories directly into the browser. The data appears exactly when the user asks for it. Passing `list_workspaces` and `get_company` to the streaming function changes how you build interfaces. The Vercel framework handles the chunking automatically. You just define the UI component and watch the client details populate in real-time.

Surface Context Instantly

Building a dashboard means you need context fast. Instead of writing custom API wrappers, your agent grabs specific user interactions through `get_note` and immediately pushes that text to your Next.js frontend. You can also map out team structures using `list_users` alongside `get_user`. Since this MCP server runs through Vinkius's edge-compatible infrastructure, the latency stays low. The end user sees the exact note they need without a page reload.

Map Client Portfolios

Managing external relationships requires accurate records. Your application can call `list_clients` to generate a complete directory, then drill down into individual profiles using `get_client`. The entire process happens within a secure V8 Isolate Sandbox. You get the raw client data streaming into your Svelte or Vue components while Vinkius handles the underlying authentication.

Setup guide

Set up Assembly 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 Assembly 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 Assembly 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 Assembly. 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.

Connect Assembly now

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 Assembly MCP in Vercel AI SDK

Install the @ai-sdk/mcp package. Call createMCPClient with your Vinkius HTTP URL. Pass the resulting tools into your generateText or streamText call.

Yes. When the model triggers `get_note`, the text streams chunk-by-chunk to your frontend. Your React components will render the note text exactly as it arrives.

No. Every request runs in an ephemeral Vinkius sandbox. Your application always pulls the live workspace status directly from the source.

You don't need to write custom auth logic. Vinkius manages the underlying credentials. You just provide your single endpoint token in the HTTP transport configuration.

Nothing persists after the execution finishes. Vinkius spins up a fresh sandbox to process your `list_companies` request and destroys it immediately. Your application receives the payload, and we retain zero records.

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