Mitre Atlas Mcp
Give your coding agent structured access to MITRE ATLAS tactics and techniques so you can threat-model AI/ML features before and after you ship.
Overview
MITRE ATLAS MCP is a MCP server for the Ship phase that surfaces MITRE ATLAS adversarial tactics and techniques for AI/ML so your agent can assist AI-focused threat modeling and security reviews.
What is this MCP server?
- MITRE ATLAS coverage: adversarial tactics and techniques aimed at AI/ML systems
- Queryable via MCP stdio so Claude Code, Cursor, or Codex can cite technique IDs during reviews
- Supports design-time threat modeling for RAG, fine-tuning, and agent tool chains
- PyPI package mitre-atlas-mcp v1.0.4 with stdio transport
- Complements generic OWASP checks with AI-specific attack landscape framing
- Server version 1.0.4
- Single PyPI package with stdio transport
- Publisher: io.github.CSOAI-ORG/mitre-atlas-mcp
What problem does it solve?
Shipping AI features without a structured attack taxonomy leads to missed adversarial risks and vague security notes agents cannot act on.
Who is it for?
Solo builders adding LLM or ML features who want agent-assisted red-team brainstorming tied to MITRE ATLAS.
Skip if: Teams that only need non-AI web app scanning or already run a full enterprise GRC platform with ATLAS built in.
What do I get? / Deliverables
After you connect the server, your agent can reference ATLAS-aligned tactics and techniques while you harden models, data pipelines, and agent tools.
- ATLAS-aligned threat notes in agent chat
- Technique references for security review docs
- Clearer abuse scenarios for AI product surfaces
Recommended MCP Servers
Journey fit
How it compares
MCP threat-intel bridge, not a standalone penetration-testing skill or automated scanner.
Common Questions / FAQ
Who is mitre-atlas-mcp for?
It is for indie and solo developers building AI-powered products who want their coding agent to use MITRE ATLAS language during security and architecture work.
When should I use mitre-atlas-mcp?
Use it during ship-phase security reviews, before launching agent features, or when documenting adversarial risks for ML data and model workflows.
How do I add mitre-atlas-mcp to my agent?
Install the PyPI package mitre-atlas-mcp, register it as an MCP stdio server in Claude Code, Cursor, or another MCP client, then invoke its tools from chat while reviewing AI features.