Illumio MCP Server

What is Illumio MCP Server? Illumio MCP Server is a Machine Conversation Protocol server that facilitates interactions with Illumio's Policy Compute Engine (PCE), enabling programmatic access to workload management, label operations, and traffic flow analysis. How to use Illumio MCP Server? To use the Illumio MCP Server, clone the repository, install dependencies, and configure it using the uv command to run with the required environment variables and API credentials for accessing an Illumio PCE instance. Key features of Illumio MCP Server? Programmatic access to workload management Operations for creating, updating, and deleting workloads Comprehensive label operations (creation, deletion, retrieval) Traffic flow analysis with detailed reports and summaries Robust error handling and logging capabilities Use cases of Illumio MCP Server? Automating the management of workloads in Illumio PCE. Managing security labels for enhanced policy enforcement. Analyzing network traffic flows for security assessments. FAQ from Illumio MCP Server? What are the prerequisites for using Illumio MCP Server? You need Python 3.8+, access to an Illumio PCE instance, and valid API credentials. Are there any ongoing features or tools in development? Yes, resource management features are not yet implemented but are planned for future development. Can I contribute to the Illumio MCP Server? Yes! You can fork the repository, create a feature branch, and submit a pull request.

As an MCP (Model Context Protocol) server, Illumio MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Illumio MCP Server, clone the repository, install dependencies, and configure it using the uv command to run with the required environment variables and API credentials for accessing an Illumio PCE instance. Key features of Illumio MCP Server? Programmatic access to workload management Operations for creating, updating, and deleting workloads Comprehensive label operations (creation, deletion, retrieval) Traffic flow analysis with detailed reports and summaries Robust error handling and logging capabilities Use cases of Illumio MCP Server? Automating the management of workloads in Illumio PCE. Managing security labels for enhanced policy enforcement. Analyzing network traffic flows for security assessments. FAQ from Illumio MCP Server? What are the prerequisites for using Illumio MCP Server? You need Python 3.8+, access to an Illumio PCE instance, and valid API credentials. Are there any ongoing features or tools in development? Yes, resource management features are not yet implemented but are planned for future development. Can I contribute to the Illumio MCP Server? Yes! You can fork the repository, create a feature branch, and submit a pull request.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.