Model Context Protocol server for managing Ludus training environments through natural language commands.

Ludus MCP Server connects AI assistants like Claude to Ludus infrastructure. You can create and manage lab environments by describing what you want in plain English, and the AI handles the technical configuration.

Range Management

• Create lab configurations from descriptions
• Deploy ranges to Ludus servers
• Check configuration validity
• Manage existing deployments

Configuration Files

• Read and write range configurations
• Validate against Ludus schemas
• Access base templates
• Store custom configurations

Server Integration

• Connect via WireGuard or SSH tunnels
• Store credentials in system keyring or OS Credential Manager
• Execute Ludus CLI commands
• Handle authentication and networking

The server provides tools and prompts that AI assistants can use:

• Tools: Individual functions for specific tasks
• Prompts: Step-by-step workflows for complex operations
• Resources: Access to configuration files and documentation

• Building lab environments for training
• Testing configurations before deployment
• Managing multiple range deployments
• Automating repetitive setup tasks

Setup instructions, dependencies, and Claude Desktop configuration.

How to use structured workflows for range creation and management.

How to use range config templates and build new range configs

How to use role/collection Schema files to build range configs with accurate variables.

Reference for all available tools and their usage.

Best practices and suggested workflows.

1. Install the server and set up credentials
2. Connect it to Claude Desktop
3. Describe the lab environment you want
4. Follow the AI's guidance to create and deploy it

The server handles Ludus-specific details while you focus on what you want to build.