How to Use the Bannerbear (Image Gen) MCP in Vercel AI SDK

Q: Can Bannerbear (Image Gen) handle video creation in Vercel AI SDK?

Yes. You trigger createvideo through the client just like any other tool. The server handles the rendering and returns the file details to your frontend.

Generate dynamic visual assets directly in your Vercel AI SDK frontends using the Bannerbear (Image Gen) MCP Server.

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Connect Bannerbear (Image Gen) MCP to Vercel AI SDK

Create your Vinkius account to connect Bannerbear (Image Gen) 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 Bannerbear (Image Gen) with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Real-time image generation in Vercel AI SDK

Feed template IDs into `create_image` and watch the result stream into your React UI components. You avoid the typical wait times by binding the output straight to your frontend state. Your users get immediate visual feedback as the server processes the request. It turns static text interfaces into rich, media-heavy experiences.

Manage collections inside Vercel AI SDK

Group your assets by calling `create_collection` to organize high-volume output. This prevents your project dashboard from becoming a mess of loose files. Handling bulk requests in your workflow keeps things tidy. You fetch the status of these assets later using `get_image` to ensure every asset rendered correctly.

Template inspection via Vercel AI SDK

Query your available designs with `list_templates` before triggering a render. This ensures your AI client has the correct context for every generated piece. Use `get_template` to check specific field requirements for your layout. You stop guessing which keys are needed for your dynamic content.

Setup guide

Set up Bannerbear (Image Gen) 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 Bannerbear (Image Gen) 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 Bannerbear (Image Gen) 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 Bannerbear. 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 Bannerbear (Image Gen) MCP in Vercel AI SDK

Install the MCP client package and point it to the endpoint provided by Vinkius. Use the generated tools within your streamText calls to trigger image generation.

Yes. You trigger `create_video` through the client just like any other tool. The server handles the rendering and returns the file details to your frontend.

You can fetch template metadata using the provided toolset. This allows your UI to display current designs to the user before they commit to an image creation request.

Vinkius handles the underlying transport with a single endpoint token. Your AI client communicates over an encrypted channel to ensure your requests remain private.

The server only touches your Bannerbear template definitions and the image or video assets generated during your session. It does not store your project credentials or user logs.

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