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mitre-attack-mcp-server

@imouiche/mitre-attack-mcp-server
0 Stars 2 次浏览 imouiche 更新于 2026-08-23

MCP server providing 50+ tools for MITRE ATT&CK techniques, groups, and mitigations

MCP 服务配置

复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用

{
  "mcpServers": {
    "@imouiche/mitre-attack-mcp-server": {
      "args": [
        "@imouiche/mitre-attack-mcp-server@0.1.1"
      ],
      "command": "npx"
    }
  }
}

可用工具 (5 个)

该服务在 MCP 协议中暴露的工具,AI 可按需调用

tavily_search 14 个参数 需填 1 项

Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.

必填参数:query

tavily_extract 6 个参数 需填 1 项

Extract content from URLs. Returns raw page content in markdown or text format.

必填参数:urls

tavily_crawl 11 个参数 需填 1 项

Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.

必填参数:url

tavily_map 8 个参数 需填 1 项

Map a website's structure. Returns a list of URLs found starting from the base URL.

必填参数:url

tavily_research 2 个参数 需填 1 项

Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.

必填参数:input

服务介绍

🛡️ MITRE ATT&CK MCP Server

AI-Native Access to the World's Leading Threat Intelligence Framework

npm
npm downloads
![License](https://img.shields.io/badge/license-Apache- -2.0-blue.svg)
MCP Registry
GitHub release

[Features](# -key-features) • [Installation](# -installation) • [Quick Start](# -quick-start) • [Tools](# -available-tools) • [Examples](# -example-queries) • [Roadmap](# -roadmap- -vision)


# 🎯 Overview

The MITRE ATT&CK MCP Server transforms the world's leading adversary knowledge base into an AI-native interface. Built for the Model Context Protocol, it enables LLMs and agentic systems to:

  • 🔍 Query 200+ techniques, 140+ groups, 700+ software entries
  • 🧠 Reason over complex threat relationships and TTPs
  • 📊 Visualize coverage gaps with ATT&CK Navigator layers
  • Scale threat intelligence workflows with structured tools

Perfect for: Security teams, threat hunters, detection engineers, AI researchers, and anyone building intelligent security systems.

# # What is this?

mitre-attack-mcp-server is a self-contained MCP server that provides machine-callable access to the MITRE ATT&CK framework using official STIX data with LLMs friendly structured outputs.

It enables:

  • 🤖 LLMs to reason about ATT&CK techniques, groups, software, and mitigations
  • 🧠 Agentic workflows to generate threat explanations and coverage maps
  • 🔍 Security teams to query ATT&CK relationships programmatically
  • 📊 Visualization via ATT&CK Navigator layers

No scraping.
No fragile APIs.
Just official MITRE data, structured and reliable.


# 📑 Table of Contents

  • [Overview](# -overview)
  • [Key Features](# -key-features)
  • [Installation](# -installation)
  • [Quick Start](# -quick-start)
  • [MCP Registry](# -mcp-registry)
  • [Available Tools](# -available-tools)
  • [Example Queries](# -example-queries)
  • [ATT&CK Navigator](# -attck-navigator-visualization)
  • [Technical Details](# -technical-details)
  • [Roadmap & Vision](# -roadmap- -vision)
  • [Contributing](# -contributing)
  • [License](# -license)
  • [About the Author](# -about-the-author)
  • [Acknowledgments](# -acknowledgments)

# ✨ Key Features

  • 65+ MCP tools across ATT&CK domains (Enterprise, Mobile, ICS)
  • ✅ Automatic STIX download & caching on first run
  • ✅ Native ATT&CK Navigator layer generation
  • ✅ Designed for LLMs & MCP-compatible clients
  • In-memory caching for instant query responses
  • Type-safe with Pydantic models
  • ✅ Clean, production-ready, self-contained server
  • ✅ Comprehensive test coverage

# 📦 Installation

# # Via PyPI (recommended) - Python Users

pip install mitre-mcp-server

# # npm

npm install -g @imouiche/mitre-attack-mcp-server

# # npx (no installation required)

npx @imouiche/mitre-attack-mcp-server

# # Via uv (Modern Python)

uv pip install mitre-mcp-server

# # Local Development

git clone https://github.com/imouiche/complete-mitre-attack-mcp-server.git
cd complete-mitre-attack-mcp-server
npm install

# # Using uv (Python package manager)

git clone https://github.com/imouiche/complete-mitre-attack-mcp-server.git
cd complete-mitre-attack-mcp-server
uv sync

# ⚡ Quick Start

# # 1. Install

pip install mitre-mcp-server

# # 2. Configure Claude Desktop

Add to your claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "mitre-attack": {
      "command": "npx",
      "args": ["-y", "@imouiche/mitre-attack-mcp-server"]
    }
  }
}

# # 3. Restart Claude Desktop

Quit Claude Desktop completely (Cmd+Q on macOS) and reopen it.

# # 4. Start Querying!

Ask Claude:

"What techniques does APT29 use for initial access?"
"Generate an ATT&CK Navigator layer for ransomware groups"
"Show me all Windows persistence techniques"

Data downloads automatically on first run (~59MB, cached at ~/.mitre-mcp-server/data/).


# 📦 MCP Registry

This server is officially registered in the Model Context Protocol (MCP) Registry.

Registry ID: io.github.imouiche/mitre-attack-mcp-server

View in Official Registry: https://registry.modelcontextprotocol.io/?q=mitre-attack-mcp-server

# # Installation Options

Option 1: Direct NPM

npm install -g @imouiche/mitre-attack-mcp-server

Option 2: NPX (no installation)

npx @imouiche/mitre-attack-mcp-server

Option 3: Discover via Registry

  1. Visit MCP Registry
  2. Search for "mitre-attack"
  3. Click the server card for installation instructions

# 🛠️ Available Tools

The server exposes 50+ MCP tools covering all major MITRE ATT&CK entities and relationships.


# # 📊 Infrastructure & Metadata

| Tool | Description |
|- --|- --|
| get_data_stats | Show download status, file paths, sizes, and ATT&CK release version |
| generate_layer | Generate an ATT&CK Navigator layer (JSON output) |
| get_layer_metadata | Return Navigator layer metadata template |


# # 🎯 Techniques

| Tool | Description |
|- --|- --|
| get_technique_by_id | Get a technique by ATT&CK ID (e.g., T1055) |
| search_techniques | Search techniques by name or description |
| get_all_techniques | Retrieve all techniques |
| get_all_parent_techniques | Parent techniques only |
| get_all_subtechniques | All subtechniques |
| get_subtechniques_of_technique | Subtechniques of a parent |
| get_parent_technique_of_subtechnique | Parent of a subtechnique |
| get_technique_tactics | Tactics associated with a technique |
| get_techniques_by_tactic | Techniques under a tactic |
| get_techniques_by_platform | Techniques for a platform |
| get_revoked_techniques | Revoked techniques |


# # 🧑💻 Groups (Threat Actors)

| Tool | Description |
|- --|- --|
| get_group_by_name | Find group by name or alias |
| search_groups | Search groups |
| get_all_groups | All ATT&CK groups |
| get_groups_by_alias | Lookup groups by alias |
| get_groups_using_technique | Groups using a technique |
| get_groups_using_software | Groups using software |
| get_groups_attributing_to_campaign | Groups attributed to a campaign |


# # 🧪 Software (Malware & Tools)

| Tool | Description |
|- --|- --|
| get_software | Get all software |
| search_software | Search software |
| get_software_by_alias | Lookup software by alias |
| get_software_used_by_group | Software used by a group |
| get_software_used_by_campaign | Software used in campaigns |
| get_software_using_technique | Software using a technique |


# # 📌 Campaigns

| Tool | Description |
|- --|- --|
| get_all_campaigns | Get all campaigns |
| get_campaigns_by_alias | Lookup campaigns by alias |
| get_campaigns_using_technique | Campaigns using a technique |
| get_campaigns_using_software | Campaigns using software |
| get_campaigns_attributed_to_group | Campaign attribution |


# # 🛡️ Mitigations

| Tool | Description |
|- --|- --|
| get_all_mitigations | Get all mitigations |
| get_mitigations_mitigating_technique | Mitigations for a technique |
| get_techniques_mitigated_by_mitigation | Techniques mitigated by a mitigation |


# # 🧭 Tactics, Data Sources & ICS

| Tool | Description |
|- --|- --|
| get_all_tactics | Get all tactics |
| get_all_datasources | Get all data sources |
| get_all_datacomponents | Get all data components |
| get_datacomponents_detecting_technique | Data components detecting a technique |
| get_all_assets | Get ICS assets |
| get_assets_targeted_by_technique | Assets targeted by a technique |


# 💡 Example Queries

# # Threat Intelligence

"What techniques does APT29 use for initial access?"
"Which groups target financial institutions?"
"Show me all ransomware-related software"
"What are the aliases for the Lazarus Group?"

# # Detection Engineering

"What data sources detect credential dumping?"
"Generate a coverage map for EDR capabilities"
"List all techniques for Windows privilege escalation"
"What can detect T1055 (Process Injection)?"

# # Threat Hunting

"What techniques use PowerShell?"
"Show me lateral movement techniques for Linux"
"Which groups use Cobalt Strike?"
"What persistence techniques target macOS?"

# # Mitigation & Defense

"What mitigations exist for phishing attacks?"
"Show me all mitigations for privilege escalation"
"What techniques does MFA mitigate?"

# # Compliance & Gap Analysis

"Generate a layer for all techniques our EDR covers"
"Compare APT29 TTPs against our detection capabilities"
"Show unmitigated techniques in our environment"

# 📊 ATT&CK Navigator Visualization

The generate_layer tool produces ATT&CK Navigator–compatible JSON.

# # Usage:

  1. Ask Claude to generate a layer:

    "Generate an ATT&CK Navigator layer for all techniques used by APT29"

  2. Save the JSON output to a file (e.g., apt29_layer.json)

  3. Upload to ATT&CK Navigator

  4. Visualize technique coverage, threat actor usage, or mitigation mapping

# # Real-World Example Using LangGraph

# # Example Layer Use Cases:

  • Red Team Coverage: Map all techniques used in an exercise
  • Detection Gaps: Highlight unmonitored techniques
  • Threat Actor Profile: Visualize group TTPs
  • Mitigation Coverage: Show what's protected vs. exposed

# 🔧 Technical Details

# # Architecture

  • Language: Python 3.12+
  • Framework: FastMCP for Model Context Protocol
  • Data Library: Official mitreattack-python (v5.3.0+)
  • Async/Await: Optimal performance for concurrent queries
  • Type Safety: Full Pydantic models for all data structures
  • Testing: Comprehensive pytest coverage

# # Data

  • Enterprise ATT&CK: v18.1+ (~50.9MB)
  • Mobile ATT&CK: v18.1+ (~4.9MB)
  • ICS ATT&CK: v18.1+ (~3.5MB)
  • Total: ~59MB cached locally
  • Storage: ~/.mitre-mcp-server/data/v{version}/
  • Update: Auto-downloads on install, uses cached data on subsequent runs

# # Performance

  • In-memory caching: All domains loaded at startup
  • Query speed: Sub-second for most operations
  • Graph traversal: Efficient relationship queries
  • Concurrent: Handles multiple simultaneous requests

# # Requirements

  • Python: 3.12 or higher
  • Node.js: 16+ (for NPM installation)
  • Disk Space: ~150MB (includes dependencies + data)
  • Memory: ~200MB RAM when running

# 🚀 Roadmap & Vision

This project is the first component of a larger vision to build comprehensive agentic security automation by integrating multiple security knowledge bases and frameworks.

# # Current Status

  • MITRE ATT&CK - Threat intelligence & adversary TTPs (v18.1)

# # Planned Integrations

  • 🔜 CVE/NVD - Vulnerability intelligence and exploit mapping
  • 🔜 MITRE D3FEND - Defensive countermeasure knowledge graph
  • 🔜 Sigma Rules - Detection rule translation and management
  • 🔜 CAPEC - Common Attack Pattern Enumeration
  • 🔜 CWE - Software weakness enumeration
  • 🔜 Agentic Pentesting - Multi-agent autonomous security testing

# # Ultimate Goal

Enable AI agents to autonomously:

  • 🎯 Map attack surfaces and identify vulnerabilities
  • 🛡️ Recommend defensive countermeasures
  • 🔍 Generate detection rules and validate coverage
  • 🤖 Orchestrate multi-stage security assessments
  • 📊 Reason about complete attack-defense lifecycles

# # Get Involved

We welcome contributions from:

  • 🎓 Students working on thesis projects (cybersecurity, AI, agentic systems)
  • 🔬 Researchers in AI security, threat intelligence, or agent frameworks
  • 💻 Developers passionate about security automation
  • 🏢 Organizations interested in research partnerships or commercial applications

Areas of Interest:

  • Integrating additional security frameworks (CVE, D3FEND, Sigma)
  • Building agentic workflows for pentesting and red teaming
  • Developing detection rule generation pipelines
  • Creating threat intelligence reasoning systems
  • Improving MCP tooling and documentation

📬 Interested? Open an issue, start a discussion, or reach out directly!

Join the Discussion →


# 🤝 Contributing

Found a bug? Have a feature request? Want to contribute to the roadmap?

All contributions welcome!

# # Development Setup

git clone https://github.com/imouiche/complete-mitre-attack-mcp-server.git
cd complete-mitre-attack-mcp-server
uv sync
#  uv run pytest (test/ folder not yet released)
uv run python -m mitre_mcp_server.server

# 📜 License

Apache License 2.0

See LICENSE for full details.


# 👨💻 About the Author

Inoussa Mouiche, Ph.D.
AI/ML Researcher | Cybersecurity | Agentic AI Systems | Software Engineering

🎓 University of Windsor - WASP Lab
🔬 Research Focus: Threat Intelligence Automation, Machine Learning, Multi-Agent Security Systems, LLM-Powered Security Operations

📫 Connect

🎓 Award Nomination

💼 Open to opportunities in:

  • AI/ML Engineering & Research
  • Cybersecurity & Threat Intelligence
  • Agentic AI Development
  • Security Automation & Orchestration
  • Academic & Industry Collaborations

# 🙏 Acknowledgments

MITRE ATT&CK® is a registered trademark of The MITRE Corporation.


⭐ Star this repo if you find it useful!

Interested in collaborating on agentic engineering systems? Let's connect!

Made with ❤️ for the cybersecurity and AI communities

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