Bring Generative Ai
to Google ADK
Create your Vinkius account to connect Adobe Firefly to Google ADK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Adobe Firefly Client ID and Client Secret (found in Adobe Developer Console > Projects > Firefly Services)
- Start generating AI-powered visuals from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Designers & Creatives — generate commercially safe reference images and vectors without switching to Photoshop or Illustrator
- Marketers — create stylized text effects and social media visuals using natural language conversation
- Content Creators — remove backgrounds and expand image borders to fit different aspect ratios in real-time
- Developers — test and debug Firefly API integrations and verify generative fill schemas through natural conversation
Built-in capabilities (10)
Instructions: Pass descriptive prompt. Generate an object composite image using Adobe Firefly
Instructions: Upload reference first, pass image_id and prompt. Generate images similar to a reference using Adobe Firefly
Instructions: Pass image_id, target width/height. Expand an image beyond its borders using Adobe Firefly
Instructions: Upload image first, get image_id and mask_id. Fill masked areas of an image using Adobe Firefly Generative Fill
List available Firefly models
Instructions: Upload image first, pass image_id. Remove the background from an image using Adobe Firefly
Instructions: Pass the text and a style prompt. Apply AI text effects using Adobe Firefly
Model 5 offers photorealistic output. Instructions: Pass prompt and count (1-4). Generate images from a text prompt using Adobe Firefly
Instructions: Pass a descriptive prompt. Generate SVG vectors from a text prompt using Adobe Firefly
Returns image ID. Instructions: Pass a publicly accessible URL. Upload an image to Adobe Firefly storage
Why Google ADK?
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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Adobe Firefly
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Adobe Firefly tools with BigQuery, Vertex AI, and Cloud Functions
Adobe Firefly in Google ADK
Why run Adobe Firefly with Vinkius?
The Adobe Firefly connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Adobe Firefly using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Adobe Firefly and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Adobe Firefly to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Adobe Firefly for Google ADK
Every request between Google ADK and Adobe Firefly is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my agent generate SVG vector files using Adobe Firefly?
Yes. Use the 'text_to_vector' tool. Provide a descriptive prompt, and the agent will command the Firefly engine to produce editable SVG vector graphics natively, which are perfect for use in Adobe Illustrator.
How do I perform generative fill on an image via chat?
First, use 'upload_image' to get an 'image_id'. Then, use the 'generative_fill' tool by providing the image ID, a mask ID (for the area to fill), and your prompt. The agent will execute the AI fill synchronously.
Can I remove the background of an image through the agent?
Absolutely. Use the 'remove_background' tool. After uploading your source image and retrieving its ID, the agent will command Firefly to process the file and return a transparent PNG body synchronously.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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