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Viesus MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Health, Enhance Image Ai, Get Account Credit Balance, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Viesus through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Viesus app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Viesus, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Viesus
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* 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 Viesus MCP Server

Connect your Viesus account to any AI agent and simplify your professional image processing and enhancement workflows through natural conversation.

The Vercel AI SDK gives every Viesus tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • AI Enhancement — Apply powerful upscaling, face restoration, and automatic color correction to your photos.
  • Job Monitoring — Upload images and track the real-time status of your enhancement requests (queued, processing, completed).
  • Content Retrieval — Fetch direct download links for your processed images and retrieve technical metadata like resolution and color space.
  • Account Management — Monitor your credit balance and view the history of all processing jobs.
  • Preset Library — List and select from predefined enhancement configurations optimized for different photo types.

The Viesus MCP Server exposes 12 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 12 Viesus tools available for Vercel AI SDK

When Vercel AI SDK connects to Viesus through Vinkius, your AI agent gets direct access to every tool listed below — spanning photo-enhancement, image-retouching, color-correction, 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.

check_api_health

Verify Viesus API status

enhance_image_ai

Apply AI enhancement to an image

get_account_credit_balance

Check remaining API credits

get_api_version_info

Retrieve API version details

get_enhanced_image_url

Retrieve the final image download link

get_enhancement_job_status

Check the status of an enhancement job

get_image_metadata

Retrieve technical metadata for an image

list_configured_webhooks

List active webhooks

list_enhancement_presets

List available enhancement configurations

list_processing_history

List recent image processing jobs

list_supported_file_formats

List supported image formats

upload_image_to_viesus

Upload an image for processing

Connect Viesus to Vercel AI SDK via MCP

Follow these steps to wire Viesus into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Viesus and passes them to the LLM

Why Use Vercel AI SDK with the Viesus MCP Server

Vercel AI SDK provides unique advantages when paired with Viesus through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Viesus integration everywhere

03

Built-in streaming UI primitives let you display Viesus tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Viesus + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Viesus MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Viesus in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Viesus tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Viesus capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Viesus through natural language queries

Example Prompts for Viesus in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Viesus immediately.

01

"Check my Viesus credit balance."

02

"Enhance image 'img_12903' using the 'standard-high' preset."

03

"Show me the technical metadata for the image I just uploaded."

Troubleshooting Viesus MCP Server with Vercel AI SDK

Common issues when connecting Viesus to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Viesus + Vercel AI SDK FAQ

Common questions about integrating Viesus MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.