Bring Generative Ai
to Vercel AI SDK
Learn how to connect Image Router to Vercel AI SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Image Router MCP Server?
Connect your ImageRouter account to any AI agent and manage AI image generation.
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
Built-in capabilities (11)
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
Why Vercel AI SDK?
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.
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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 Image Router integration everywhere
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Built-in streaming UI primitives let you display Image Router 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
Image Router in Vercel AI SDK
Image Router and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Image Router to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Image Router in Vercel AI SDK
The Image Router 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Image Router for Vercel AI SDK
Every tool call from Vercel AI SDK to the Image Router MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI generate images from text?
Yes. generate_image creates images from any text prompt using AI models like Stable Diffusion.
Can I upscale or create variations?
Yes. upscale_image increases resolution and generate_variation creates visual alternatives of an existing image.
How do I browse available models?
Use list_models for all models or list_models_by_category to filter by style category.
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