Adobe Firefly MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Adobe Firefly through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Adobe Firefly, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Adobe Firefly MCP Server
Connect your Adobe Firefly developer account to any AI agent and take full control of your commercially safe generative AI image and vector creation through natural conversation.
The Vercel AI SDK gives every Adobe Firefly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Text-to-Image Orchestration — Generate photorealistic or stylized images from text prompts utilizing Firefly's elite model 5 for high-fidelity output natively
- Generative Fill & Expand — Fill masked areas or expand images beyond their borders by commanding absolute explicit text payloads to generate surrounding context flawlessly
- Text-to-Vector Synthesis — Produce editable SVG vector graphics from descriptive prompts, bringing Adobe Illustrator-grade assets to your AI agent loops
- Intelligent Image Editing — Upload source images to perform background removals, generate similar variations, or create object composites synchronously
- Text Effects & Art — Transform plain textual strings into stylized visual art by applying AI-generated textures and effects according to style prompts
- Asset Storage & Management — Manage uploaded image binaries and retrieve unique IDs to orchestrate complex multi-step generative operations securely
- Model Discovery — Enumerate available Firefly models and versions to evaluate capabilities and determine precise active inference boundaries natively
The Adobe Firefly MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Adobe Firefly to Vercel AI SDK via MCP
Follow these steps to integrate the Adobe Firefly MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Adobe Firefly and passes them to the LLM
Why Use Vercel AI SDK with the Adobe Firefly MCP Server
Vercel AI SDK provides unique advantages when paired with Adobe Firefly through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Adobe Firefly integration everywhere
Built-in streaming UI primitives let you display Adobe Firefly tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Adobe Firefly + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Adobe Firefly MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Adobe Firefly in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Adobe Firefly tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Adobe Firefly capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Adobe Firefly through natural language queries
Adobe Firefly MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Adobe Firefly to Vercel AI SDK via MCP:
generate_object
Instructions: Pass descriptive prompt. Generate an object composite image using Adobe Firefly
generate_similar
Instructions: Upload reference first, pass image_id and prompt. Generate images similar to a reference using Adobe Firefly
generative_expand
Instructions: Pass image_id, target width/height. Expand an image beyond its borders using Adobe Firefly
generative_fill
Instructions: Upload image first, get image_id and mask_id. Fill masked areas of an image using Adobe Firefly Generative Fill
list_models
List available Firefly models
remove_background
Instructions: Upload image first, pass image_id. Remove the background from an image using Adobe Firefly
text_effects
Instructions: Pass the text and a style prompt. Apply AI text effects using Adobe Firefly
text_to_image
Model 5 offers photorealistic output. Instructions: Pass prompt and count (1-4). Generate images from a text prompt using Adobe Firefly
text_to_vector
Instructions: Pass a descriptive prompt. Generate SVG vectors from a text prompt using Adobe Firefly
upload_image
Returns image ID. Instructions: Pass a publicly accessible URL. Upload an image to Adobe Firefly storage
Example Prompts for Adobe Firefly in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Adobe Firefly immediately.
"Generate a photorealistic image of a futuristic workspace with large windows"
"Create an SVG vector of a minimal mountain landscape"
"Remove the background from image 'img_789'"
Troubleshooting Adobe Firefly MCP Server with Vercel AI SDK
Common issues when connecting Adobe Firefly to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAdobe Firefly + Vercel AI SDK FAQ
Common questions about integrating Adobe Firefly MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Adobe Firefly with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Adobe Firefly to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.