How to Use the Viesus MCP in Vercel AI SDK

Q: How do I check Viesus API status with Vercel AI SDK?

You can use checkapihealth to verify the Viesus service is up before starting any user-facing feature. This prevents unnecessary errors and lets you handle downtime gracefully in your client code.

Q: Can I see past jobs using Viesus and Vercel AI SDK?

Yep. The listprocessinghistory tool pulls a log of everything that's happened with image processing on the server side. This lets you build an audit trail for your users right in your web app.

Q: How do I check the credit balance using Viesus and Vercel AI SDK?

Always call getaccountcreditbalance early. It's good practice to let the user know their remaining API credits before they try to run a heavy job.

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Connect Viesus MCP to Vercel AI SDK

Create your Vinkius account to connect Viesus to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Viesus with Vercel AI SDK

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Track Job Status in Real Time

When a user uploads an image via `upload_image_to_viesus`, you don't want them staring at a loading spinner. Call `get_enhancement_job_status` to check the current state of the job and stream updates directly into your React component. This real-time feedback loop makes the whole experience feel snappy, letting users see when the AI is working its magic without delay.

Get Image Details Before Enhancement

Before you run the main enhancement process with `enhance_image_ai`, check what you're dealing with. Use `get_image_metadata` to pull technical details—like resolution or file format—so your UI can display accurate information. Need to know if a user uploaded a PNG or a JPEG? Just run `list_supported_file_formats`. It keeps the front end predictable.

Manage Pre-Set AI Profiles

Users need options. Instead of manually passing parameters, let them pick from predefined styles. Call `list_enhancement_presets` to show them what Viesus can do—from 'Cinematic' to 'Vivid'. Once they select a preset, you pass that identifier into the main enhancement call (`enhance_image_ai`), keeping your code clean and simple.

Setup guide

Set up Viesus MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Viesus tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Viesus transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Viesus. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Viesus MCP in Vercel AI SDK

You can use `check_api_health` to verify the Viesus service is up before starting any user-facing feature. This prevents unnecessary errors and lets you handle downtime gracefully in your client code.

Yep. The `list_processing_history` tool pulls a log of everything that's happened with image processing on the server side. This lets you build an audit trail for your users right in your web app.

The primary data type this server touches is image processing metadata and job status. You retrieve the final download link using `get_enhanced_image_url`, which points back to the enhanced content.

No, but if you're building a user-facing product where speed matters, it helps. It lets you stream data results live instead of waiting for one big loading screen.

Always call `get_account_credit_balance` early. It's good practice to let the user know their remaining API credits before they try to run a heavy job.

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