How to Use the GenerateBanners MCP in Vercel AI SDK

Q: How do I connect Vercel AI SDK to GenerateBanners?

Install the @ai-sdk/mcp package and define your HTTP transport. Pass the resulting client tools directly to streamText to start generating banners.

Q: Can my Vercel AI SDK agent render multiple graphics at once?

Yes, the renderbatch tool accepts arrays of text and image variables. Your agent can process a spreadsheet of product prices and generate all the required ads in a single call.

Q: How does GenerateBanners handle template discovery?

The server provides listcategories to group designs by format. Your agent reads these categories to filter out Instagram stories when the user actually needs a LinkedIn header.

Build live ad generation tools in React by connecting the Vercel AI SDK to the GenerateBanners MCP Server.

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Connect GenerateBanners MCP to Vercel AI SDK

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

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Stream Template Discovery

`search_templates` and `get_template` let your Vercel AI SDK agent pull design schemas from this MCP integration instantly. When a user asks for a holiday sale graphic, your agent fetches the available layouts and streams the metadata directly into a custom UI component. Because Vercel handles streaming responses natively, the user watches the template options appear in real-time. They pick a layout, and the agent immediately knows the exact text fields and image layers required to build the final creative.

Render Graphics at the Edge

`render_template` and `render_batch` push image generation commands from your edge functions to the GenerateBanners backend. Your agent formats the user's text inputs to match the template schema and fires off the render request. The resulting image URLs stream back into your Next.js application without a loading spinner. If the user needs fifty variations of a Facebook ad, the batch tool handles the heavy lifting while your UI stays completely responsive.

Manage Campaign Projects

The GenerateBanners MCP Server uses `create_project` and `list_projects` to organize marketing assets directly from the chat interface. Your users do not have to leave the application to sort their generated files into campaign folders. You can wire these tools up to an `authProvider` so each user only sees their specific projects. The agent reads the account state via `get_account` and keeps the workspace clean as new creatives get generated.

Setup guide

Set up GenerateBanners 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 GenerateBanners 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 GenerateBanners transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GenerateBanners. 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.

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Common questions about GenerateBanners MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and define your HTTP transport. Pass the resulting client tools directly to `streamText` to start generating banners.

Yes, the `render_batch` tool accepts arrays of text and image variables. Your agent can process a spreadsheet of product prices and generate all the required ads in a single call.

The server provides `list_categories` to group designs by format. Your agent reads these categories to filter out Instagram stories when the user actually needs a LinkedIn header.

Writing a canvas renderer from scratch takes weeks and breaks constantly. This server gives your agent immediate access to a maintained rendering endpoint with twelve dedicated tools.

The server processes your specific headline copy and hex codes entirely in memory. The V8 Isolate Sandbox destroys the rendering environment the moment the final image URL returns to your edge function.

Use it with your favorite AI tools

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