Image Router MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Check Imagerouter Status, Edit Image, Generate Image, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Image Router through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Image Router app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Image Router, 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 Image Router MCP Server
Connect your ImageRouter account to any AI agent and manage AI image generation.
The Vercel AI SDK gives every Image Router tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through 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
- Image Generation — Create images from text prompts with any supported model
- Advanced Generation — Full control over size, steps, seed, and negative prompts
- Image Editing — Modify existing images based on text descriptions
- Model Library — Browse and filter models by category
- Style Presets — Apply artistic styles to generations
- Upscaling — Increase image resolution
- Variations — Create visual variations of existing images
- Task Status — Check async generation progress
The Image Router MCP Server exposes 11 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.
All 11 Image Router tools available for Vercel AI SDK
When Vercel AI SDK connects to Image Router through Vinkius, your AI agent gets direct access to every tool listed below — spanning generative-ai, image-generation, model-aggregation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify API connectivity
Edit an existing image
Generate an image from text
Generate with full options
Generate image variation
Check generation status
Get model details
List available models
List models by category
List image styles
Upscale an image
Connect Image Router to Vercel AI SDK via MCP
Follow these steps to wire Image Router into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Image Router MCP Server
Vercel AI SDK provides unique advantages when paired with Image Router 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 Image Router integration everywhere
Built-in streaming UI primitives let you display Image Router 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
Image Router + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Image Router MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Image Router in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Image Router tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Image Router capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Image Router through natural language queries
Example Prompts for Image Router in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Image Router immediately.
"Generate an image of a futuristic city at sunset."
"List all available image models."
"Upscale this image to 2x resolution."
Troubleshooting Image Router MCP Server with Vercel AI SDK
Common issues when connecting Image Router to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpImage Router + Vercel AI SDK FAQ
Common questions about integrating Image Router 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.