Intruder MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Intruder through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Intruder, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Intruder MCP Server
Empower your AI agents to manage your cybersecurity posture with Intruder.io. This MCP server allows you to list security targets, track vulnerability scans, retrieve identified issues, and monitor cloud integrations directly through the Intruder API. Ideal for automating DevSecOps workflows and security auditing.
The Vercel AI SDK gives every Intruder tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Intruder MCP Server exposes 10 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.
How to Connect Intruder to Vercel AI SDK via MCP
Follow these steps to integrate the Intruder MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Intruder and passes them to the LLM
Why Use Vercel AI SDK with the Intruder MCP Server
Vercel AI SDK provides unique advantages when paired with Intruder through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Intruder integration everywhere
Built-in streaming UI primitives let you display Intruder tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Intruder + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Intruder MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Intruder in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Intruder tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Intruder capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Intruder through natural language queries
Intruder MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Intruder to Vercel AI SDK via MCP:
get_account
Use to verify identity and account settings. Gets your Intruder account details
get_issue
Returns detailed descriptions, remediation advice, and affected targets. Essential for investigating and fixing security flaws. Retrieves details for a specific issue
get_scan
Returns the list of targets included, scan duration, and a summary of findings. Use this to audit the results of a specific security assessment. Retrieves details for a specific scan
get_target
Returns metadata and associated tags. Use this to deep-dive into the security status of a specific asset. Retrieves details for a specific target
list_cloud_integrations
Essential for auditing how Intruder discovers new targets in the cloud infrastructure. Lists all configured cloud integrations (AWS, Azure, Google Cloud)
list_issues
Returns issue titles, severity levels (Low, Medium, High, Critical), and status. Use this as the primary tool for security posture auditing. Lists all identified vulnerability issues
list_licences
Useful for verifying subscription status and capacity. Lists all account licences
list_scans
Includes scan types, timestamps, and IDs. Essential for tracking scan frequency and monitoring ongoing security checks. Lists all vulnerability scans
list_targets
Returns target names, IDs, and types. Use this to identify which assets are being scanned for vulnerabilities. Lists all infrastructure and application targets
list_teams
Useful for understanding organizational access controls. Lists all organization teams
Example Prompts for Intruder in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Intruder immediately.
"List all active targets in my Intruder account."
"Show me the latest vulnerability issues found."
"Check the status of my recent scans."
Troubleshooting Intruder MCP Server with Vercel AI SDK
Common issues when connecting Intruder to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIntruder + Vercel AI SDK FAQ
Common questions about integrating Intruder MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Intruder with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Intruder to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.