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Lacework (Cloud Security & CNAPP) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Lacework (Cloud Security & CNAPP) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Lacework (Cloud Security & CNAPP) Assistant",
            instructions=(
                "You help users interact with Lacework (Cloud Security & CNAPP). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Lacework (Cloud Security & CNAPP)"
        )
        print(result.final_output)

asyncio.run(main())
Lacework (Cloud Security & CNAPP)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Lacework (Cloud Security & CNAPP) MCP Server

Connect your Lacework (FortiCNAPP) account to any AI agent and take full control of your cloud security posture and threat hunting through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Lacework (Cloud Security & CNAPP) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Lacework (Cloud Security & CNAPP), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

  • Alert Orchestration — Search and retrieve deep behavioral telemetry for security alerts, identifying anomalous Kubernetes executions or AWS IAM brute-forcing attempts directly from your agent
  • Vulnerability Management — List critical CVEs executing on cloud hosts and monitor static image vulnerabilities in your container registries (ECR, DockerHub)
  • Emergency Incident Response — Instantly search your entire infrastructure for specific CVE exposure (e.g., Log4j) to identify vulnerable nodes during zero-day events
  • Asset Inventory Audit — Query the real-time cloud control-plane to enumerate running instances, unrestricted S3 buckets, and active networking perimeters
  • Threat Hunting (LQL) — Execute specialized Lacework Query Language (LQL) requests to analyze vast datasets for anomalous login patterns or API key abuse
  • Compliance Monitoring — List and audit global cloud security policies to ensure your infrastructure remains within regulatory and organizational norms

The Lacework (Cloud Security & CNAPP) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents 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 Lacework (Cloud Security & CNAPP) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Lacework (Cloud Security & CNAPP) MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from Lacework (Cloud Security & CNAPP)

Why Use OpenAI Agents SDK with the Lacework (Cloud Security & CNAPP) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Lacework (Cloud Security & CNAPP) through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Lacework (Cloud Security & CNAPP) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Lacework (Cloud Security & CNAPP) MCP Server delivers measurable value.

01

Automated workflows: build agents that query Lacework (Cloud Security & CNAPP), process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries Lacework (Cloud Security & CNAPP), another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Lacework (Cloud Security & CNAPP) tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Lacework (Cloud Security & CNAPP) to resolve tickets, look up records, and update statuses without human intervention

Lacework (Cloud Security & CNAPP) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Lacework (Cloud Security & CNAPP) to OpenAI Agents SDK via MCP:

01

execute_query

Produces bespoke output matrices tracking API keys bypassing IAM logic, anomalous login patterns, or Kubernetes process spawn trees. Execute an LQL Threat Hunting Query on-demand

02

get_alert

Extracts precisely what baseline behavior was deviated from, providing deep contextual metadata such as explicit AWS Accounts involved, offending Container Image SHAs, and correlated external IP anomalies. Get exact behavioral payloads and telemetry for an Alert

03

list_container_vulnerabilities

Examines ECR/DockerHub registries or direct cluster deployments for images carrying critical inherited CVEs at the filesystem level before CI/CD promotion blocks. List static image vulnerabilities detected in Container Registries

04

list_host_vulnerabilities

Identifies running processes strictly matched against Critical or High CVEs (e.g., Log4j, Polkit) directly active inside EC2 or GCE instances. List known vulnerabilities executing natively on Cloud Hosts/VMs

05

list_lql_queries

These extract precise cloud telemetry fields mapping user-defined compliance checks directly against the underlying dataset. List all Lacework Query Language (LQL) structures

06

list_resource_groups

Helps define what constitutes "Production" vs "Staging" in Policy evaluation engines. List logical Resource Groups managing Lacework architectures

07

list_security_policies

Confirms whether Lacework will alert directly if an engineer violates structural norms (e.g., exposing port 22 directly to 0.0.0.0/0). List all global Cloud Security Policies enforced by Lacework

08

search_alerts

Fetches events mapping to anomalous Kubernetes executions, AWS IAM brute-forcing attempts, and massive container network exfiltrations spanning the specified time filter. Search Cloud Security alerts dynamically across Lacework

09

search_cloud_inventory

Used to dynamically enumerate running instances, active networking perimeters, or unrestricted S3 buckets discovered by cross-account role polling. Query the real-time Lacework Cloud Control-Plane Asset Inventory

10

search_cve_exposure

Directly filters the entire cloud infrastructure footprint determining exactly which specific nodes (Machines) are currently vulnerable to the designated CVE (e.g. "CVE-2026-0001"). Search all integrated Machines/Instances for a specific CVE

Example Prompts for Lacework (Cloud Security & CNAPP) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Lacework (Cloud Security & CNAPP) immediately.

01

"Search for all Critical alerts from the last 24 hours"

02

"List all host vulnerabilities for our Production resource group"

03

"Are there any unrestricted S3 buckets currently visible in our inventory?"

Troubleshooting Lacework (Cloud Security & CNAPP) MCP Server with OpenAI Agents SDK

Common issues when connecting Lacework (Cloud Security & CNAPP) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Lacework (Cloud Security & CNAPP) + OpenAI Agents SDK FAQ

Common questions about integrating Lacework (Cloud Security & CNAPP) MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect Lacework (Cloud Security & CNAPP) to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.