Adobe Firefly MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Adobe Firefly through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"adobe-firefly": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Adobe Firefly Agent",
instructions:
"You help users interact with Adobe Firefly " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Adobe Firefly?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Adobe Firefly tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Adobe Firefly MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Adobe Firefly via MCP
Why Use Mastra AI with the Adobe Firefly MCP Server
Mastra AI provides unique advantages when paired with Adobe Firefly through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Adobe Firefly without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Adobe Firefly tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Adobe Firefly + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Adobe Firefly MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Adobe Firefly, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Adobe Firefly as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Adobe Firefly on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Adobe Firefly tools alongside other MCP servers
Adobe Firefly MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Adobe Firefly to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Adobe Firefly to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAdobe Firefly + Mastra AI FAQ
Common questions about integrating Adobe Firefly MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Adobe Firefly with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.