Attack‑MCP Overview

Attack‑MCP is a dedicated Model Context Protocol (MCP) server that exposes the MITRE ATT&CK knowledge base to AI assistants. By providing a structured, query‑able interface for tactics, techniques, mitigations, and detection patterns, it enables developers to embed real‑world threat intelligence directly into conversational agents. This eliminates the need for custom parsers or manual data ingestion, allowing assistants to answer questions about adversary behaviors, recommend defensive controls, and generate threat‑modeling artifacts on demand.

The server offers a rich set of resources that mirror the ATT&CK taxonomy: tactics, techniques, sub‑techniques, and associated mitigations and detections. Clients can retrieve a technique’s full description, its relationships to other techniques, or the list of mitigations that apply. The MCP interface also supports filtering by platform, software, or detection type, giving developers fine‑grained control over the data returned. Because the knowledge base is updated regularly by MITRE, any changes propagate automatically to the server, ensuring that AI assistants stay current with emerging threats.

Key capabilities include:

• Semantic querying: Clients can ask for all techniques under a particular tactic or request mitigations that counter a given technique, and the server returns structured JSON suitable for downstream processing.
• Relationship navigation: The MCP exposes parent–child and related‑technique links, enabling assistants to reason about technique families or lateral movement paths.
• Contextual augmentation: When an assistant references a technique in a conversation, the server can supply the full ATT&CK ID, description, and relevant mitigations, enriching the dialogue with authoritative context.
• Extensibility hooks: The server can be extended with custom prompts or sampling logic, allowing developers to tailor the assistant’s response style (e.g., concise bullet lists for executive summaries or detailed step‑by‑step explanations for analysts).

Attack‑MCP is especially valuable in security operations, red‑team planning, and compliance automation. A SOC analyst can ask an AI assistant “What mitigations apply to credential dumping?” and receive a curated list of controls, while a red‑team operator can request “Show me the full ATT&CK sub‑techniques for lateral movement” to plan realistic attack scenarios. In compliance workflows, auditors can quickly verify that all required mitigations are in place for a given tactic.

Integration is straightforward: developers add the Attack‑MCP URL to their MCP client configuration, and the assistant can invoke standard MCP calls (, , etc.) to fetch ATT&CK data. Because the server adheres to MCP’s resource‑first model, it blends seamlessly with other tool integrations—such as SIEM query engines or threat intel feeds—allowing a single AI assistant to orchestrate complex security operations across multiple data sources.

In summary, Attack‑MCP turns the vast MITRE ATT&CK repository into an interactive, AI‑ready service. It empowers developers to deliver threat‑intelligent conversations, automate defensive recommendations, and keep security workflows aligned with the latest adversary tactics—all without wrestling with raw data formats or custom API wrappers.