How to Use the Cortex XSIAM MCP in Vercel AI SDK

Q: How do I query Cortex XSIAM logs using Vercel AI SDK?

You use the runxqlquery tool. Pass your XQL string through the client, and the results stream back to your frontend components for rendering.

Q: Can I trigger a Cortex XSIAM playbook from a Vercel AI SDK button?

Yes. Map your button click to the executeplaybook tool. It runs your defined automation logic and feeds the output status back to your user.

Stream real-time security data from Cortex XSIAM directly into your Vercel AI SDK frontends.

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Connect Cortex XSIAM MCP to Vercel AI SDK

Create your Vinkius account to connect Cortex XSIAM 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 Cortex XSIAM with Vercel AI SDK

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Live incident monitoring for Vercel AI SDK

Pipe live security alerts into your dashboard components. Use `get_incidents` to pull the current SOC queue and render status updates as they happen. Your users see the data flow in without waiting for page refreshes. You can also trigger `get_incident_details` to show specific context inside a modal window.

Interactive endpoint control with Vercel AI SDK

Give your interface the ability to manage network hosts. When a user clicks a button, the app fires `isolate_endpoint` to block threats before they spread. It connects your frontend state directly to your security stack. You get immediate feedback loops that show the host status changing in your UI.

Advanced XQL hunting in Vercel AI SDK

Run complex log searches through your web interface. The `run_xql_query` tool lets you execute custom hunting logic and display the results in your own charts. This keeps your users inside your app while they dig through logs. You avoid the context switching that usually kills productivity during an investigation.

Setup guide

Set up Cortex XSIAM 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 Cortex XSIAM 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 Cortex XSIAM transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cortex XSIAM. 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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Common questions about Cortex XSIAM MCP in Vercel AI SDK

You use the `run_xql_query` tool. Pass your XQL string through the client, and the results stream back to your frontend components for rendering.

Yes. Map your button click to the `execute_playbook` tool. It runs your defined automation logic and feeds the output status back to your user.

It does. Since you can run the MCP client in your Edge Functions, your backend handles the security logic while the frontend stays responsive.

Data moves over encrypted transport layers. Only the specific incident artifacts, like IP addresses or hostnames, are exposed to your agent during the session.

Vinkius handles the auth handshake for you. Your client only needs the endpoint token to communicate with the server.

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