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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Lacework (Cloud Security & CNAPP) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Lacework (Cloud Security & CNAPP). "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Lacework (Cloud Security & CNAPP)?"
    )
    print(response)

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.

LlamaIndex agents combine Lacework (Cloud Security & CNAPP) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Lacework (Cloud Security & CNAPP)

Why Use LlamaIndex with the Lacework (Cloud Security & CNAPP) MCP Server

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

01

Data-first architecture: LlamaIndex agents combine Lacework (Cloud Security & CNAPP) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Lacework (Cloud Security & CNAPP) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Lacework (Cloud Security & CNAPP), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Lacework (Cloud Security & CNAPP) tools were called, what data was returned, and how it influenced the final answer

Lacework (Cloud Security & CNAPP) + LlamaIndex Use Cases

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

01

Hybrid search: combine Lacework (Cloud Security & CNAPP) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Lacework (Cloud Security & CNAPP) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Lacework (Cloud Security & CNAPP) for fresh data

04

Analytical workflows: chain Lacework (Cloud Security & CNAPP) queries with LlamaIndex's data connectors to build multi-source analytical reports

Lacework (Cloud Security & CNAPP) MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Lacework (Cloud Security & CNAPP) to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Lacework (Cloud Security & CNAPP) + LlamaIndex FAQ

Common questions about integrating Lacework (Cloud Security & CNAPP) MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Lacework (Cloud Security & CNAPP) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Lacework (Cloud Security & CNAPP) to LlamaIndex

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