How to Use the Adobe Firefly MCP in Vercel AI SDK

Q: Does Adobe Firefly in Vercel AI SDK support image uploads?

Yes, use uploadimage to get an ID for your assets. You then feed that ID into other tools like removebackground or generativefill.

Q: What models are available for Adobe Firefly in Vercel AI SDK?

Run the listmodels tool to see what is current. You will get a list of active model IDs you can target for your specific creative tasks.

Stream Adobe Firefly assets directly into your Vercel AI SDK frontends for real-time generative UI updates.

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Connect Adobe Firefly MCP to Vercel AI SDK

Create your Vinkius account to connect Adobe Firefly 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 Adobe Firefly with Vercel AI SDK

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Generate visuals in Vercel AI SDK

Use `text_to_image` to push high-fidelity pixels straight into your React components. Your users watch the generation happen live instead of waiting for a backend task to finish. This MCP Server handles the heavy lifting while your frontend manages the stream. Just pass your prompt to the tool and pipe the output to your UI state.

Manipulate images via Vercel AI SDK

Call `generative_fill` or `generative_expand` to modify assets dynamically within your production environment. You get full control over the canvas without leaving your TypeScript codebase. Your app sends the image ID and masks to the server. The result hits your state handler instantly.

Create text effects using Vercel AI SDK

Trigger `text_effects` to render styled typography for your branding needs. It takes your prompt and returns the asset for immediate display in your Next.js application. Forget manual design cycles. Your code generates the exact look and feel on demand.

Setup guide

Set up Adobe Firefly 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 Adobe Firefly 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 Adobe Firefly 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 Adobe Firefly. 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

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Adobe Firefly MCP in Vercel AI SDK

Install the MCP client package and initialize it with your Vinkius endpoint. You then pass the tool definitions into your streamText call to let your agents invoke Adobe Firefly functions.

Yes, it works fine in production environments. Ensure your Vinkius token is stored in your environment variables to keep your connections secure.

Yes, use `upload_image` to get an ID for your assets. You then feed that ID into other tools like `remove_background` or `generative_fill`.

Run the `list_models` tool to see what is current. You will get a list of active model IDs you can target for your specific creative tasks.

Your image buffers and metadata remain isolated within the Vinkius sandbox. No one else has access to the assets you process through the Adobe Firefly tools.

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