Bring Cnapp
to CrewAI
Create your Vinkius account to connect Lacework (Cloud Security & CNAPP) to CrewAI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Enter your Lacework Account, Key ID, and Secret
- Start monitoring your cloud security from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Security Analysts — hunt for threats and investigate polygraph alerts through natural conversation without manual dashboard filtering
- DevOps & SREs — monitor container and host vulnerabilities to ensure only secure images are promoted through the CI/CD pipeline
- Compliance Officers — audit security policies and unrestricted cloud assets to maintain a robust organizational security posture
Built-in capabilities (10)
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
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
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
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
These extract precise cloud telemetry fields mapping user-defined compliance checks directly against the underlying dataset. List all Lacework Query Language (LQL) structures
Helps define what constitutes "Production" vs "Staging" in Policy evaluation engines. List logical Resource Groups managing Lacework architectures
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
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
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
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
Why CrewAI?
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.
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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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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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) in CrewAI
Why run Lacework (Cloud Security & CNAPP) with Vinkius?
The Lacework (Cloud Security & CNAPP) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Lacework (Cloud Security & CNAPP) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Lacework (Cloud Security & CNAPP) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Lacework (Cloud Security & CNAPP) to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Lacework (Cloud Security & CNAPP) for CrewAI
Every request between CrewAI and Lacework (Cloud Security & CNAPP) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can I search for specific CVE exposure across my whole cloud environment?
Yes. Use the search_cve_exposure tool and provide the official CVE ID (e.g. CVE-2023-1234). Your agent will filter the entire cloud footprint to determine exactly which specific nodes or machines are currently vulnerable.
How do I investigate the behavioral telemetry of a specific security alert?
The get_alert tool extracts precisely what baseline behavior was deviated from for a specific Alert ID. Your agent will return detailed contextual metadata, including offending container SHAs and correlated IP anomalies.
Can my agent run custom threat hunting queries using LQL?
Absolutely. Use the execute_query tool to run specialized Lacework Query Language (LQL) blocks. This allows your agent to perform complex mathematical analysis on cloud telemetry to identify deep security patterns.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard 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?
Yes. Each agent has its own 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?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using 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)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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