Bring Generative Art
to Vercel AI SDK
Create your Vinkius account to connect Stability AI to Vercel AI SDK 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.
Compatible with every major AI agent and IDE
What is the Stability AI MCP Server?
Integrate the industry-leading generative visual capabilities of Stability AI seamlessly into your conversational LLM workflows. Empower your creative and design teams to rapidly generate photorealistic drafts, upscale low-resolution assets, or systematically remove backgrounds from product photography without relying on external design software. Connect your API securely to your local configuration, interact naturally via conversation to iterate on images, and streamline your entire design pipeline effortlessly.
What you can do
- Core Image Generation — Synthesize net-new images from detailed text prompts and visual parameters invoking
generate_image, utilizing state-of-the-art diffusion models. - Image Upscaling & Enhancement — Resolve low-resolution graphics mathematically, increasing dimensions while retaining structural fidelity using
upscale_image. - Precision Editing — Eradicate complex subject backgrounds instantly from product portraits securely and cleanly invoking
remove_background. - Inpainting & Masking — Surgically replace isolated regions within a graphic layout, maintaining exact consistency mathematically utilizing
inpaint_image.
How it works
- Establish the Stability AI MCP connector reliably on your active AI system.
- In the MCP settings, securely attach your official API Key, effectively binding operations locally.
- Prompt your agent objectively: "Generate a 1024x1024 photorealistic mockup focusing on a modern smart home device, then cleanly remove the background."
Who is this for?
- Digital Marketing Agencies — Automate iterative campaign graphic creation rapidly, testing diverse ad variations procedurally directly via the terminal.
- E-Commerce Managers — Sanitize product photography backgrounds systematically, standardizing catalog appearances objectively in bulk.
- Creative Operations Leaders — Expedite concept-art workflows seamlessly converting initial rough sketches to high-resolution presentations for stakeholders.
Built-in capabilities (10)
Optimized for speed and quality. Generate an image using the Stable Image Core model
Choose from "sd3.5-large", "sd3.5-large-turbo", or "sd3.5-medium". Generate an image using Stable Diffusion 3.5
Best for final production assets. Generate a high-end photorealistic image
Retrieves your current Stability AI credit balance
Requires engine_id and prompt. Transform an existing image based on a text prompt
Edits specific regions of an image based on a prompt
These IDs are required for v1 generation tools. List all available image generation engines on Stability AI
Removes the background from an image
Provide engine_id, prompt, width, and height. Width/Height must be multiples of 64. Generate an image from a text prompt using v1 engines
Provide a guidance prompt to help the model maintain quality. Increases image resolution while preserving detail
Why Vercel AI SDK?
The Vercel AI SDK gives every Stability AI 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.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Stability AI integration everywhere
- —
Built-in streaming UI primitives let you display Stability AI tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Stability AI in Vercel AI SDK
Why run Stability AI with Vinkius?
The Stability AI 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 Stability AI using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Stability AI and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Stability AI to Vercel AI SDK 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
Stability AI for Vercel AI SDK
Every request between Vercel AI SDK and Stability AI 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 the language model visually analyze the specific outputs generated from the APIs recursively?
Stability AI’s underlying architecture transmits the resultant graphical files returning strictly formatted Base64 encoded outputs or structured CDN links. Assuming your interface possesses multimodal capability, it is logically capable of assessing graphic properties accurately post generation.
Who possesses ownership over the raw generated assets computationally rendered here?
By adhering definitively to official usage terms, creations executed natively belong securely entirely to the account producing them (you). Generative visual models execute entirely adhering to a clear framework of user copyright ownership fundamentally aligned with typical platform specifications.
Which image formats does the API return?
The API typically returns PNG images encoded as Base64 strings or direct CDN URLs. The exact format depends on the endpoint and parameters used in the generation request.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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