How to Use the Acunetix 360 MCP in Vercel AI SDK

Q: How do I use Acunetix 360 with the Vercel AI SDK to show scan progress?

Call listscans periodically to get the status of ongoing scans. You can then update your UI to show if a scan is processing or complete, giving users a live progress indicator.

Q: Can I filter vulnerabilities from Acunetix 360 in my Vercel AI SDK app?

Yes. The listvulnerabilities tool returns all issues for a given scan. Your code can then filter them by severity, status, or type before rendering them in your UI.

Q: What's the setup for connecting Acunetix 360 to the Vercel AI SDK?

It's straightforward. Install @ai-sdk/mcp, create a client with your Vinkius URL, and pass the tools to streamText. The entire connection is handled by a single transport object.

Build live security dashboards with Acunetix 360 and the Vercel AI SDK. Stream scan results directly into your React or Next.js app.

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Connect Acunetix 360 MCP to Vercel AI SDK

Create your Vinkius account to connect Acunetix 360 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 Acunetix 360 with Vercel AI SDK

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Kick Off Scans from Your UI

The `launch_scan` tool lets your users start a new Acunetix 360 scan right from your application's interface. No need to switch tabs or log into another system. Just pass the target website details, and the scan begins immediately. You can build a simple form that gives anyone on your team the power to check a site for issues.

Stream Vulnerabilities in Real Time

Use the `list_scans` and `list_vulnerabilities` tools to feed security data straight into your UI components. With the Vercel AI SDK, this data streams in as it's found. Your users won't see a loading spinner. They'll see a live-updating list of vulnerabilities, giving them immediate feedback on the security posture of their web applications. It's a much better user experience.

Your Acunetix 360 MCP Server

This MCP server connects your frontend directly to Acunetix 360's core functions. You get authenticated, sandboxed access without managing your own backend proxy. Vinkius handles the infrastructure. You just install the SDK, point it to the provided URL, and start calling tools. It's the fastest way to get security data into your user-facing app.

Setup guide

Set up Acunetix 360 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 Acunetix 360 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 Acunetix 360 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 Acunetix 360. 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.

Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Acunetix 360 MCP in Vercel AI SDK

Call `list_scans` periodically to get the status of ongoing scans. You can then update your UI to show if a scan is processing or complete, giving users a live progress indicator.

Yes. The `list_vulnerabilities` tool returns all issues for a given scan. Your code can then filter them by severity, status, or type before rendering them in your UI.

It's straightforward. Install `@ai-sdk/mcp`, create a client with your Vinkius URL, and pass the tools to `streamText`. The entire connection is handled by a single transport object.

For running scans and viewing results, it can. You can build a custom dashboard in your own app that uses these tools, reducing the need to jump between systems for routine checks.

The server only interacts with scan targets, scan history, and vulnerability report data. All connections use your unique Vinkius endpoint token, and the server environment is ephemeral, meaning it holds no state between your requests.

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