How to Use the Amplenote MCP in Vercel AI SDK

Q: How do I initialize the Amplenote MCP server in my Vercel AI SDK project?

Install @ai-sdk/mcp and call createMCPClient pointing to your Vinkius endpoint. Pass the tools directly into your generateText config and remember to call mcpClient.close() when the session ends.

Let your React users query and edit their Amplenote workspace live with Vercel AI SDK via MCP.

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…and any MCP-compatible client

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Connect Amplenote MCP to Vercel AI SDK

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

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Stream Amplenote Content Live to Vercel AI SDK UI

Using `get_note` lets your Vercel AI SDK application stream raw markdown straight into your React components the millisecond your agent finds it. By calling `mcpClient.tools()` inside your Next.js route, you feed available Amplenote endpoints directly to `streamText`. Your users watch their Amplenote notes render chunk-by-chunk in your Next.js frontend.

Interactive Task Updates via Vercel AI SDK

Triggering `get_note_actions` lets your agent render clickable UI elements in your Vercel AI SDK app instead of showing static text. Your frontend captures the user click, triggers `update_task` through the SDK client, and immediately reflects the new due date on screen. It makes your interface feel like a native extension of their Amplenote workspace.

Instant Workspace Search

Connecting `search_notes` to your Vercel AI SDK chat component lets users query their Amplenote workspace directly from your search bar. Because the SDK client runs on edge-compatible runtime, these searches don't bottleneck your server. The SDK processes the search payload and displays matching items before the user even finishes typing their query.

Setup guide

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

Install `@ai-sdk/mcp` and call `createMCPClient` pointing to your Vinkius endpoint. Pass the tools directly into your `generateText` config and remember to call `mcpClient.close()` when the session ends.

Yes, that is the main benefit of this integration. The SDK streams the raw markdown returned by the tool directly to the client UI, where you can render it using standard React libraries.

The SDK relies on your edge function timeout settings and Vinkius's connection pool. Since you are calling individual tools like `list_tasks` on demand, you avoid bulk API hits that usually trigger rate limit blocks.

Absolutely. The connection uses lightweight HTTP transport, making it fully compatible with Vercel Edge Runtime without bundle size issues.

Every note body, task ID, and tag payload is isolated within a secure V8 sandbox on Vinkius. The MCP setup connects using a single secure endpoint token, so your raw workspace credentials are never exposed to the client-side code.

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