Stability AI MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Stability AI through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Stability AI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 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.
The Vercel AI SDK gives every Stability AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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.
The Stability AI MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI 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 Stability AI to Vercel AI SDK via MCP
Follow these steps to integrate the Stability AI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Stability AI and passes them to the LLM
Why Use Vercel AI SDK with the Stability AI MCP Server
Vercel AI SDK provides unique advantages when paired with Stability AI through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Stability AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Stability AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Stability AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Stability AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Stability AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Stability AI through natural language queries
Stability AI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Stability AI to Vercel AI SDK via MCP:
generate_core_v2
Optimized for speed and quality. Generate an image using the Stable Image Core model
generate_sd35
Choose from "sd3.5-large", "sd3.5-large-turbo", or "sd3.5-medium". Generate an image using Stable Diffusion 3.5
generate_ultra_v2
Best for final production assets. Generate a high-end photorealistic image
get_credit_balance
Retrieves your current Stability AI credit balance
image_to_image_v1
Requires engine_id and prompt. Transform an existing image based on a text prompt
inpaint_image
Edits specific regions of an image based on a prompt
list_engines
These IDs are required for v1 generation tools. List all available image generation engines on Stability AI
remove_background
Removes the background from an image
text_to_image_v1
Provide engine_id, prompt, width, and height. Width/Height must be multiples of 64. Generate an image from a text prompt using v1 engines
upscale_image
Provide a guidance prompt to help the model maintain quality. Increases image resolution while preserving detail
Example Prompts for Stability AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Stability AI immediately.
"Generate a wide format concept visual depicting a sleek, futuristic electric bike stationed alongside a minimalist architectural wall structure."
"Upscale this low-resolution image of a landscape without losing structural fidelity."
"Remove the background from this product photography."
Troubleshooting Stability AI MCP Server with Vercel AI SDK
Common issues when connecting Stability AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpStability AI + Vercel AI SDK FAQ
Common questions about integrating Stability AI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Stability AI 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 Stability AI to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.