How to Use the Cortex XSIAM MCP in Mastra AI

Q: Can I use Mastra AI to orchestrate Cortex XSIAM incident queues?

Absolutely. You can set up a loop that polls getincidents and assigns tasks to your agents based on severity levels.

Q: How are Cortex XSIAM incident IDs handled in Mastra AI workflows?

You pass the IDs as arguments to tools like getincidentdetails. The agent maintains state and tracks the ID throughout the workflow lifecycle.

Build automated incident response workflows in Mastra AI using the Cortex XSIAM MCP Server.

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Connect Cortex XSIAM MCP to Mastra AI

Create your Vinkius account to connect Cortex XSIAM to Mastra AI 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 Mastra AI

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Automated threat response for Mastra AI

Link your workflows to security events. Use `execute_playbook` inside your agent logic to respond to incidents without manual intervention. Your agent checks the situation and runs the right script. It handles the heavy lifting so your team focuses on high-level decisions.

Conditional endpoint remediation in Mastra AI

Define branching logic based on host health. Your agent calls `get_endpoints` to audit devices, then uses `scan_endpoint` if it finds suspicious activity. This creates a self-healing loop for your network. If the scan returns positive, the agent branches to `isolate_endpoint` automatically.

Context-aware investigation for Mastra AI

Feed incident data into your agent memory. The `get_incident_details` tool provides the necessary context for your agent to decide the next step. It makes your automation smarter. The agent understands the incident scope before it executes any corrective actions.

Setup guide

Set up Cortex XSIAM MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Cortex XSIAM tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "cortex-xsiam-mcp-client",
  servers: {
    "cortex-xsiam-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Cortex XSIAM Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Cortex XSIAM tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Cortex XSIAM transactions"
);
console.log(result.text);

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Common questions about Cortex XSIAM MCP in Mastra AI

Mastra supports retries with backoff. If an MCP call to Cortex XSIAM times out, the framework handles the attempt based on your workflow configuration.

Absolutely. You can set up a loop that polls `get_incidents` and assigns tasks to your agents based on severity levels.

It is. The setup uses robust transport methods for communication between your agent framework and the security platform.

You pass the IDs as arguments to tools like `get_incident_details`. The agent maintains state and tracks the ID throughout the workflow lifecycle.

Your security data remains scoped to your agent's execution context. We isolate the traffic and ensure only the authorized agent sees the incident details.

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