Adobe Firefly MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Adobe Firefly as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="adobe_firefly_agent",
instruction=(
"You help users interact with Adobe Firefly "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Adobe Firefly as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Adobe Firefly MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Adobe Firefly via MCP
Why Use Google ADK with the Adobe Firefly MCP Server
Google ADK provides unique advantages when paired with Adobe Firefly through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Adobe Firefly
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Adobe Firefly tools with BigQuery, Vertex AI, and Cloud Functions
Adobe Firefly + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Adobe Firefly MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Adobe Firefly and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Adobe Firefly tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Adobe Firefly regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Adobe Firefly
Adobe Firefly MCP Tools for Google ADK (10)
These 10 tools become available when you connect Adobe Firefly to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Adobe Firefly to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAdobe Firefly + Google ADK FAQ
Common questions about integrating Adobe Firefly MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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 Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.