How to Use the Intruder MCP in Vercel AI SDK

Q: Can Intruder help my AI SDK app track critical flaws?

Yes. By using listissues, your agent filters for high-severity vulnerabilities and surfaces them in your dashboard. It keeps your team focused on the threats that actually matter.

Q: Will Intruder data overload my AI SDK frontend?

Not if you use the tools to pull specific data slices. Use getissue for deep dives and listissues for high-level summaries to keep your UI payload light.

Use the Intruder MCP Server with the AI SDK to stream real-time vulnerability data directly into your web interface.

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…and any MCP-compatible client

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Connect Intruder MCP to Vercel AI SDK

Create your Vinkius account to connect Intruder 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 Intruder with Vercel AI SDK

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Perplexity

Active vulnerability reporting in AI SDK

Stop waiting for background jobs to finish. By hooking `list_issues` into your stream, you push live security statuses straight into your users' browser. Your UI updates as the scanner finds risks. It's immediate feedback for anyone monitoring their infrastructure.

Target audit trails for AI SDK

Feed `list_targets` and `get_target` results into your frontend to show exactly what's being watched. You can map out your entire asset inventory without writing custom proxy layers. This gives your team a clear view of their coverage. It removes the guesswork from checking if a specific server is included in your current scan policy.

Streamlined scan history access

Fetch `list_scans` or `get_scan` payloads to render visual timelines of your security history. The data flows through your Edge Functions, keeping your app fast and responsive. It’s about seeing the results of your security assessment the second they hit the API. You don't need extra state management to keep your view in sync.

Setup guide

Set up Intruder 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 Intruder 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 Intruder 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 Intruder. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Intruder MCP in Vercel AI SDK

You initialize the connection using the MCP client transport within your project. Once configured, you import the tools and pass them to your streamText function to start querying your scan data.

Yes. By using `list_issues`, your agent filters for high-severity vulnerabilities and surfaces them in your dashboard. It keeps your team focused on the threats that actually matter.

Not if you use the tools to pull specific data slices. Use `get_issue` for deep dives and `list_issues` for high-level summaries to keep your UI payload light.

You provide your endpoint token when configuring the transport layer. The server handles the rest, ensuring your agent has the right permissions to access your account.

Your Intruder data stays within the encrypted transport between your client and our server. We only touch the specific vulnerability and asset metadata you explicitly request.

Use it with your favorite AI tools

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