Adobe Firefly MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Adobe Firefly through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Adobe Firefly Assistant",
instructions=(
"You help users interact with Adobe Firefly. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Adobe Firefly"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 10 tools from Adobe Firefly through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Adobe Firefly, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Adobe Firefly MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Adobe Firefly
Why Use OpenAI Agents SDK with the Adobe Firefly MCP Server
OpenAI Agents SDK provides unique advantages when paired with Adobe Firefly through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Adobe Firefly + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Adobe Firefly MCP Server delivers measurable value.
Automated workflows: build agents that query Adobe Firefly, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Adobe Firefly, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Adobe Firefly tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Adobe Firefly to resolve tickets, look up records, and update statuses without human intervention
Adobe Firefly MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Adobe Firefly to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Adobe Firefly to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Adobe Firefly + OpenAI Agents SDK FAQ
Common questions about integrating Adobe Firefly MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
