Ludus FastMCP

Ludus FastMCP

Enables AI-powered management of Ludus cyber range environments through natural language commands. Provides 157 tools for range lifecycle management, scenario deployment, template creation, Ansible role management, and SIEM integration for security testing and research.

Category
Visit Server

README

Ludus FastMCP

Version Python License

A Model Context Protocol (MCP) server for automating Ludus cyber range environments through AI assistants written in Python.

Overview

Ludus FastMCP enables AI-powered management of Ludus cyber ranges through natural language commands. The server exposes 157 tools across 15 modules for range lifecycle management, scenario deployment, template creation, Ansible role management, and security monitoring integration.

Key Capabilities

Category Description
Range Management Create, configure, deploy, and manage virtual lab environments
Scenario Deployment Pre-built scenarios for AD, red/blue/purple team, and malware analysis
Template Builder Custom OS templates, skeleton configurations, and YAML generation
Role Management Ansible Galaxy integration and custom role installation
SIEM Integration Wazuh, Splunk, Elastic Stack, and Security Onion support
AI Configuration Natural language to YAML configuration conversion

Supported Platforms

Works with any MCP-compatible client including Claude Desktop, VS Code (Cline), OpenWebUI, and AnythingLLM.

Quick Start

Requirements

  • Python 3.11+
  • Access to a Ludus server instance
  • Ludus API credentials

Installation

# Using pipx (recommended)
pipx install git+https://github.com/tjnull/Ludus-FastMCP

# From source
git clone https://github.com/tjnull/Ludus-FastMCP
cd Ludus-FastMCP
pip install -e .

Setup

Run the interactive setup wizard:

ludus-fastmcp --setup

The wizard configures API credentials, tests connectivity, and generates MCP client configuration files.

For manual configuration options, see the Configuration Guide.

Usage

MCP Server (ludus-fastmcp)

ludus-fastmcp --setup          # Interactive setup wizard
ludus-fastmcp --list-tools     # List all 157 available tools
ludus-fastmcp --version        # Display version information
ludus-fastmcp                  # Start MCP server
ludus-fastmcp --daemon         # Run as background service

Client CLI (ludus-ai)

ludus-ai setup-llm                    # Configure local LLM (Ollama)
ludus-ai install anythingllm          # Install AnythingLLM interface
ludus-ai tool list-tools              # List available tools
ludus-ai tool call-tool <name>        # Execute tools directly

Example Interactions

Once connected to an MCP client, interact with your Ludus environment:

Show my current range status
Deploy an Active Directory lab with Wazuh monitoring
Create a snapshot named "pre-attack" for all VMs
Build a lab with 2 domain controllers and 5 workstations

Examples of using Ludus-FastMCP with grok code through Opencode.

img

img

img

img

Documentation

Document Description
Getting Started Installation, setup, and first deployment
Configuration Environment variables and MCP client setup
Tools Reference Complete documentation for all 157 tools
Scenarios Pre-built deployment scenarios
Troubleshooting Common issues and solutions
Safety Safety features and best practices

Resources

Resource Link
Ludus Documentation docs.ludus.cloud
Ludus GitHub github.com/badsectorlabs/ludus
FastMCP Framework gofastmcp.com
MCP Specification modelcontextprotocol.io

Support

License

This project is licensed under the MIT License. See LICENSE for details.

Disclaimer

This software is intended for authorized security testing, educational purposes, and research in controlled environments. Users are responsible for compliance with applicable laws and organizational policies. The authors make no warranties and assume no liability for use or misuse of this software.

Acknowledgments

  • Ludus by Bad Sector Labs
  • FastMCP, and the Model Context Protocol community.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured