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

Q: Can Mastra AI trigger Lacework (Cloud Security & CNAPP) queries automatically?

Yes. You can include searchalerts in your agent's toolset and trigger it based on a timer or an external webhook. The agent then processes the results according to your defined workflow.

Q: How do I enforce Lacework (Cloud Security & CNAPP) policies in Mastra AI?

You fetch the current active policies using listsecuritypolicies. Your agent can then compare your infrastructure configuration against these rules to ensure compliance.

Q: Can I use Mastra AI to patch Lacework (Cloud Security & CNAPP) vulnerabilities?

While the server provides the vulnerability data via listhostvulnerabilities, the actual patching happens through your own deployment scripts. The agent identifies the issue, and your workflow takes the necessary action.

Automate security remediation workflows with the Lacework (Cloud Security & CNAPP) MCP Server integrated into Mastra AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Lacework (Cloud Security & CNAPP) MCP to Mastra AI

Create your Vinkius account to connect Lacework (Cloud Security & CNAPP) 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.

GDPR Free for Subscribers

Setup Lacework (Cloud Security & CNAPP) with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated security triage with Mastra AI

Build agent workflows that automatically check for vulnerabilities using `list_container_vulnerabilities` before allowing a deployment. If the agent finds critical CVEs, it can halt the pipeline execution. This ensures that your security policies are enforced programmatically. You define the logic in Mastra, and the MCP server provides the data needed to make the decision.

Context-aware alert resolution workflows

Use `get_alert` to feed specific behavioral payloads into your Mastra agent for analysis. If an anomaly occurs, the agent can decide whether to escalate the issue or suppress it based on the metadata provided. This reduces the number of false positives your team has to review. Your agent handles the noise, leaving only the verified threats for human intervention.

Dynamic resource grouping for cloud policies

Manage your infrastructure boundaries by using `list_resource_groups` to categorize your production and staging environments. Your Mastra workflows can then apply different security policies to each group. This prevents your agents from accidentally applying aggressive remediation scripts to sensitive production databases. You gain granular control over how and where your security tools act.

Setup guide

Set up Lacework (Cloud Security & CNAPP) 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 Lacework (Cloud Security & CNAPP) 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: "lacework-cloud-security-cnapp-mcp-client",
  servers: {
    "lacework-cloud-security-cnapp-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Lacework (Cloud Security & CNAPP) transactions"
);
console.log(result.text);

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Lacework (Cloud Security & CNAPP) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lacework (Cloud Security & CNAPP) MCP in Mastra AI

Yes. You can include `search_alerts` in your agent's toolset and trigger it based on a timer or an external webhook. The agent then processes the results according to your defined workflow.

You fetch the current active policies using `list_security_policies`. Your agent can then compare your infrastructure configuration against these rules to ensure compliance.

While the server provides the vulnerability data via `list_host_vulnerabilities`, the actual patching happens through your own deployment scripts. The agent identifies the issue, and your workflow takes the necessary action.

Mastra supports tool approval natively. You can flag any sensitive tool like `execute_query` to require a human to click 'approve' before the command actually runs in your cloud.

It accesses cloud configuration metadata, container image registries, and security alert logs. It does not access your actual customer PII, database records, or application source code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript