Lacework (Cloud Security & CNAPP) MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Lacework (Cloud Security & CNAPP) through Vinkius, pass the Edge URL in the `mcps` parameter and every Lacework (Cloud Security & CNAPP) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Lacework (Cloud Security & CNAPP) Specialist",
goal="Help users interact with Lacework (Cloud Security & CNAPP) effectively",
backstory=(
"You are an expert at leveraging Lacework (Cloud Security & CNAPP) tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Lacework (Cloud Security & CNAPP) "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Lacework (Cloud Security & CNAPP) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Lacework (Cloud Security & CNAPP) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the Lacework (Cloud Security & CNAPP) MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Lacework (Cloud Security & CNAPP)
Why Use CrewAI with the Lacework (Cloud Security & CNAPP) MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Lacework (Cloud Security & CNAPP) through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Lacework (Cloud Security & CNAPP) + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Lacework (Cloud Security & CNAPP) MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Lacework (Cloud Security & CNAPP) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Lacework (Cloud Security & CNAPP), analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Lacework (Cloud Security & CNAPP) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Lacework (Cloud Security & CNAPP) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Lacework (Cloud Security & CNAPP) MCP Tools for CrewAI (10)
These 10 tools become available when you connect Lacework (Cloud Security & CNAPP) to CrewAI via MCP:
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
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
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
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
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
list_resource_groups
Helps define what constitutes "Production" vs "Staging" in Policy evaluation engines. List logical Resource Groups managing Lacework architectures
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
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
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
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 CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Lacework (Cloud Security & CNAPP) immediately.
"Search for all Critical alerts from the last 24 hours"
"List all host vulnerabilities for our Production resource group"
"Are there any unrestricted S3 buckets currently visible in our inventory?"
Troubleshooting Lacework (Cloud Security & CNAPP) MCP Server with CrewAI
Common issues when connecting Lacework (Cloud Security & CNAPP) to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Lacework (Cloud Security & CNAPP) + CrewAI FAQ
Common questions about integrating Lacework (Cloud Security & CNAPP) MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Lacework (Cloud Security & CNAPP) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lacework (Cloud Security & CNAPP) to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
