How to Use the Lacework (Cloud Security & CNAPP) MCP in Vercel AI SDK

Q: Can Vercel AI SDK display Lacework (Cloud Security & CNAPP) host vulnerabilities?

Yes. By mapping listhostvulnerabilities to your UI components, you can render active CVEs in real-time. The SDK handles the streaming data, so your table updates automatically.

Q: How does this MCP server handle large cloud inventory datasets?

It uses targeted queries like searchcloudinventory to fetch only the data you need for the current view. This keeps your application memory usage low and response times fast.

Stream real-time cloud security telemetry directly into your interface with the Lacework (Cloud Security & CNAPP) MCP Server for Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Lacework (Cloud Security & CNAPP) MCP to Vercel AI SDK

Create your Vinkius account to connect Lacework (Cloud Security & CNAPP) 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 Lacework (Cloud Security & CNAPP) with Vercel AI SDK

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Live vulnerability streaming in your UI

Feed live vulnerability data directly into your React or Next.js components without waiting for background jobs to finish. Use `list_host_vulnerabilities` to pull active process threats and display them as they appear in the environment. Your users see the security posture of their infrastructure as the data streams in. This removes the need for loading spinners and gives your dashboard a responsive, professional feel.

Trigger security queries from your frontend

Run specific LQL checks on demand by invoking `execute_query` directly from your edge functions. This allows your application to verify IAM policies or anomalous login patterns at the exact moment a user requests a security audit. Because the results return as structured JSON, your frontend code handles the response immediately. You get full control over how you present complex cloud security findings to your end users.

Contextual alert investigation for Vercel AI SDK

Get granular details on specific alerts by piping `get_alert` output into your AI agent. The agent can then explain exactly which container image or AWS account triggered the security event. This gives your users the 'why' behind an alert without them needing to log into a separate console. It turns raw telemetry into actionable insights inside your product's own interface.

Setup guide

Set up Lacework (Cloud Security & CNAPP) 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 Lacework (Cloud Security & CNAPP) 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 Lacework (Cloud Security & CNAPP) 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 Lacework. 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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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 Lacework (Cloud Security & CNAPP) MCP in Vercel AI SDK

You instantiate the MCP client and pass the tools to your streamText function. From there, your agent can call `search_alerts` to pull recent security events into the conversation context.

Yes. By mapping `list_host_vulnerabilities` to your UI components, you can render active CVEs in real-time. The SDK handles the streaming data, so your table updates automatically.

The server operates over standard HTTP transport, which fits perfectly within Edge Function limitations. You maintain full control over tool access through your own authentication layer.

It uses targeted queries like `search_cloud_inventory` to fetch only the data you need for the current view. This keeps your application memory usage low and response times fast.

The server only touches the telemetry and metadata you explicitly query, such as container image SHAs or alert logs. No raw application code or proprietary database contents are ever processed or stored by the Vinkius host.

Use it with your favorite AI tools

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