Attack MCP Server

Attack MCP Server – An ATT&CK Knowledge Hub for AI Assistants

The Attack MCP Server is a lightweight, Model Context Protocol (MCP) service that exposes the MITRE ATT&CK knowledge base to AI assistants. By turning ATT&CK tactics, techniques, mitigations and detections into queryable tools, the server solves a common pain point for security analysts and automation engineers: how to programmatically retrieve up‑to‑date, structured threat intelligence without hard‑coding it into an application.
With a single MCP client connection, developers can ask the assistant to look up a technique ID, perform fuzzy searches on technique names, or pull full detail sets that include kill‑chain phases, affected platforms and remediation steps. This eliminates the need to maintain local copies of ATT&CK data or write custom parsers, enabling rapid iteration on security workflows and more accurate threat‑response recommendations.

Core Features & Capabilities

• Technique Querying – lets the assistant fetch a technique by its ATT&CK ID or perform partial‑name searches, returning concise metadata such as name and description.
• Full Technique Details – delivers the complete data record for a technique, including sub‑techniques, kill‑chain stages, references and platform coverage. The response format () is ideal for displaying in dashboards or feeding into further analysis pipelines.
• Mitigation & Detection Retrieval – Dedicated tools and return mitigation strategies and detection methods for a given technique ID, allowing an AI assistant to generate actionable playbooks or alert rules.
• Tactic Enumeration – returns the full set of ATT&CK tactics, useful for populating dropdowns or generating threat‑modeling templates.
• Server Metadata – exposes the dataset version, maintainer and Git information, helping users verify they are consuming the latest ATT&CK data.

The server supports both local stdio mode (ideal for Smithery, Cursor or CI/CD pipelines) and HTTP/streamable mode for remote deployment. This dual transport model ensures that the same MCP endpoint can be consumed in a containerized cloud environment or on a developer’s workstation with minimal configuration.

Real‑World Use Cases

• Security Automation – An AI assistant can automatically generate SOAR playbooks by querying mitigations for a technique identified in an alert.
• Threat Hunting – Analysts can ask the assistant to list all techniques involving “phishing” and receive full details, streamlining hypothesis generation.
• Compliance Reporting – By pulling the list of tactics and associated mitigations, teams can produce evidence‑based compliance artifacts that map to ATT&CK controls.
• Incident Response – During a breach, the assistant can provide real‑time detection guidance for the techniques observed in the attack timeline.

Integration with AI Workflows

Once integrated, the MCP server becomes a first‑class data source in an AI assistant’s context. The assistant can incorporate the retrieved ATT&CK information directly into its reasoning, generate tailored security recommendations, or surface relevant mitigations in a conversational interface. Because the data is served over MCP, it benefits from the same streaming and caching mechanisms that power other tool integrations, ensuring low latency responses even for complex queries.

Distinct Advantages

• Up‑to‑Date Knowledge – The server pulls from the latest ATT&CK dataset, keeping AI recommendations current without manual updates.
• Fine‑Grained Control – Separate tools for querying by ID, fuzzy name search, or full detail retrieval give developers precise control over the data volume returned.
• Zero‑Code Dependency – No need to embed ATT&CK JSON files or write custom parsers; the MCP interface handles serialization and transport.
• Flexible Deployment – Dual stdio/HTTP modes make the server suitable for local dev, CI/CD pipelines, or cloud‑hosted AI agents.

In summary, the Attack MCP Server transforms a complex threat intelligence repository into an intuitive, queryable API that empowers AI assistants to deliver actionable security insights across the entire incident‑response lifecycle.