Viper MCP Server

VIPER – A Unified MCP Server for Red‑Team Operations

VIPER addresses the growing need for a single, extensible platform that can expose all the tools and data sources required by modern AI assistants during adversary simulations. By implementing the Model Context Protocol, it allows Claude and other LLM agents to query real‑world attack capabilities—such as post‑exploitation modules, threat intelligence feeds, and automated workflow orchestrators—directly from a secure server. This eliminates the friction of manually integrating disparate tools and enables rapid, repeatable assessments that can be driven entirely by natural language commands.

At its core, VIPER bundles a comprehensive suite of red‑team assets: over 100 post‑exploitation modules that map to every phase of the MITRE ATT&CK framework, built‑in anti‑tracing and defense‑evasion utilities, and a fully featured LLM agent that can reason about the state of a target environment. The platform’s user interface is intentionally lightweight, giving operators instant access to task initiation and monitoring dashboards while still exposing the underlying MCP endpoints for programmatic consumption. This dual‑mode design means that a human analyst can launch an operation with a few clicks, or an AI assistant can trigger the same sequence via a simple API call.

VIPER’s key capabilities include:

• Cross‑platform support for Windows, Linux, and macOS, ensuring that the same MCP server can be used in heterogeneous environments.
• Automated workflow orchestration with notification hooks, allowing continuous monitoring and rapid response to changes in a target’s posture.
• Python‑based extensibility that lets teams add custom modules or data sources without modifying the core codebase.
• Rich built‑in modules covering all MITRE ATT&CK stages, from initial access to exfiltration, which can be invoked by LLM prompts or scripted actions.
• Advanced defensive evasion features such as anti‑tracing handlers and pivot graphs that help maintain persistence during simulations.

In practice, VIPER shines in scenarios where AI assistants must perform end‑to‑end red‑team operations: an analyst might ask the assistant to “identify lateral movement opportunities on the network” and receive a fully executed plan that includes credential dumping, pass‑the‑ticket attacks, and persistence mechanisms—all coordinated through the MCP interface. Similarly, continuous penetration testing can be automated by scheduling VIPER workflows that run nightly and report findings back to an LLM for contextual analysis. By exposing these capabilities through a standard protocol, VIPER enables seamless integration into existing AI pipelines, reducing the learning curve for developers and accelerating the delivery of actionable security insights.