How to Use the AiMasher MCP in Vercel AI SDK

Q: Can I stream content from AiMasher in my Next.js app using the Vercel AI SDK?

Yes, that's exactly what it's designed for. The generatecontent tool is fully compatible with the SDK's streaming capabilities. The text generated by AiMasher will render in your UI in real-time.

Q: Is there a way to check if the AiMasher API is online before making a call?

Absolutely. The checkaimasherstatus tool is a simple ping to verify connectivity. You can call it before running a larger job to make sure the service is ready.

Build frontends that stream marketing copy from AiMasher directly into your UI with the Vercel AI SDK. No more loading spinners.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AiMasher MCP to Vercel AI SDK

Create your Vinkius account to connect AiMasher 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.

GDPR Free for Subscribers

Setup AiMasher with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live Content Generation in Your UI

Stop making your users wait. When they ask your agent to write something, use AiMasher's `generate_content` tool and stream the response directly into your React or Svelte component. The text appears on their screen word-by-word, just like they're used to. This isn't a mock-up. The Vercel AI SDK is built for this. You can build a real-time content editor where users see drafts from AiMasher appear live, giving them immediate feedback and a much better experience than staring at a progress bar.

Build a Real-Time Campaign Dashboard

Use the Vercel AI SDK to build an internal dashboard that feels alive. Your agent can call `list_campaigns` and the data streams directly into your tables. Kick off a new project with `create_campaign` and see it appear in the list instantly, without a page refresh. This gives your team a single source of truth for all marketing efforts run through AiMasher. They can check the status of any project, pull details with `get_campaign`, and manage everything from one place. It just works.

Interactive Template Previews with this MCP Server

Let users see what they're getting before they commit. Your agent can use `list_templates` to populate a picker component in your app. When a user selects one, you can call `get_template` to fetch the details and render a live preview. This makes the content creation process more interactive. Instead of just picking a name from a list, your users can see the structure and style of the AiMasher template right in your application's UI. It's a simple way to make your product feel more polished.

Setup guide

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

First, install the SDKs and create the MCP client with your Vinkius endpoint. Then, pass the `create_campaign` tool from AiMasher to the `generateText` or `streamText` function. Your agent can then call it directly from the prompt.

Yes, that's exactly what it's designed for. The `generate_content` tool is fully compatible with the SDK's streaming capabilities. The text generated by AiMasher will render in your UI in real-time.

AiMasher provides tools to manage the full content lifecycle. You get tools like `create_campaign`, `generate_content`, `list_campaigns`, and `list_templates` to build a complete content generation interface.

Absolutely. The `check_aimasher_status` tool is a simple ping to verify connectivity. You can call it before running a larger job to make sure the service is ready.

Your campaign data, templates, and generated content are processed in an isolated environment. Vinkius runs each MCP Server in an ephemeral sandbox, and your unique endpoint token is the only key. Nothing is stored or shared.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript