Rapid7 InsightVM 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 Rapid7 InsightVM through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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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 Rapid7 InsightVM, 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 Rapid7 InsightVM MCP Server
Connect your Rapid7 InsightVM (formerly Nexpose) platform directly to your AI agent. By granting this access, your AI becomes a highly interactive cybersecurity assistant, allowing engineers and security analysts to query vulnerabilities, review asset health, and start scans right from their workspace or IDE.
The Vercel AI SDK gives every Rapid7 InsightVM tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Asset Querying — Retrieve comprehensive inventory lists to discover all tracked computing assets and read their operating system fingerprints and hardware information.
- Vulnerability Checks — Scan specific assets to instantly read CVE numbers mapped against them, alongside full vulnerability advisories and remediation guidelines.
- Scan Operations — Read chronologically maintained assessment scans and track their execution status without jumping between consoles.
- Site Management — Explore configured network sites, observing their designated scanning scopes and reviewing overall health risks.
- Trigger Scanning — Force an immediate re-evaluation scan on a specified site after applying a patch, validating your resolution securely.
The Rapid7 InsightVM 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 Rapid7 InsightVM to Vercel AI SDK via MCP
Follow these steps to integrate the Rapid7 InsightVM 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 Rapid7 InsightVM and passes them to the LLM
Why Use Vercel AI SDK with the Rapid7 InsightVM MCP Server
Vercel AI SDK provides unique advantages when paired with Rapid7 InsightVM 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 Rapid7 InsightVM integration everywhere
Built-in streaming UI primitives let you display Rapid7 InsightVM 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
Rapid7 InsightVM + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Rapid7 InsightVM MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Rapid7 InsightVM in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Rapid7 InsightVM tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Rapid7 InsightVM capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Rapid7 InsightVM through natural language queries
Rapid7 InsightVM MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Rapid7 InsightVM to Vercel AI SDK via MCP:
get_asset
Retrieves detailed information for a specific asset
get_asset_vulnerabilities
Lists all vulnerabilities found on a specific asset
get_scan
Retrieves execution status and results for a specific scan
get_site
Retrieves details for a specific network site
get_vulnerability
Retrieves details for a specific vulnerability ID
list_assets
Lists all discovered computing assets
list_scans
Lists chronological assessment scans
list_sites
Lists all configured network scan sites
list_vulnerabilities
Lists global vulnerability definitions
trigger_scan
Forces an immediate vulnerability scan for a site
Example Prompts for Rapid7 InsightVM in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Rapid7 InsightVM immediately.
"Fetch the list of network sites currently managed by Rapid7."
"What vulnerabilities are discovered on asset 1052?"
"Force a new scan on Site ID 15 immediately."
Troubleshooting Rapid7 InsightVM MCP Server with Vercel AI SDK
Common issues when connecting Rapid7 InsightVM to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRapid7 InsightVM + Vercel AI SDK FAQ
Common questions about integrating Rapid7 InsightVM 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 Rapid7 InsightVM 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 Rapid7 InsightVM to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.