Overview

The Illumio MCP Server bridges conversational AI assistants with an Illumio Policy Compute Engine (PCE), turning natural language commands into actionable security operations. It solves the common pain point of manually navigating Illumio’s REST API or UI by providing a unified, AI‑friendly interface. Developers can ask an assistant to create workloads, manage labels, or pull traffic summaries without writing code, enabling rapid prototyping and automation of security workflows.

At its core, the server exposes a rich set of resources and tools that map directly to Illumio concepts. Workloads, labels, traffic flows, policies, IP lists, and events are all accessible through intuitive tool names such as , , and . Each tool accepts structured arguments, validates input, and communicates with the PCE using secure API credentials. The server also offers a health‑check tool () to ensure connectivity before any operation, reducing runtime errors in AI‑driven scripts.

Key capabilities include:

• Workload Management: Create, update, and delete unmanaged workloads with precise IP and label assignments.
• Label Operations: Dynamically add or remove key‑value labels, a fundamental part of Illumio’s microsegmentation model.
• Traffic Analysis: Retrieve detailed or summarized traffic flow data with extensive filtering (date range, source/destination, service, policy decision) to support security investigations and compliance reporting.
• Policy & IP List Retrieval: Query rulesets and IP lists with optional filters, enabling context‑aware decision making.
• Event Monitoring: Pull system events filtered by type, severity, or status to surface operational insights.

In real‑world scenarios, security engineers can ask an assistant to “list all workloads that lack the prod label” or “create a new workload for a temporary service with IP 10.0.1.5”. Incident responders can request “show me traffic from the compromised host to external services in the last 24 hours” and receive actionable summaries instantly. By integrating with AI workflows, the server eliminates manual API calls, accelerates remediation cycles, and democratizes access to Illumio’s security posture for non‑technical stakeholders.

What sets this MCP server apart is its comprehensive error handling and logging strategy, which surface clear, actionable messages back to the AI client. This transparency helps developers debug misconfigurations quickly and builds confidence that the assistant’s commands are faithfully executed in the PCE. Overall, the Illumio MCP Server empowers developers and security teams to harness conversational AI for efficient, programmatic control over Illumio environments.