mitre-attack-mcp-server
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

[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
- Visit MCP Registry
- Search for "mitre-attack"
- 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:
-
Ask Claude to generate a layer:
"Generate an ATT&CK Navigator layer for all techniques used by APT29"
-
Save the JSON output to a file (e.g.,
apt29_layer.json) -
Upload to ATT&CK Navigator
-
Visualize technique coverage, threat actor usage, or mitigation mapping
# # Real-World Example Using LangGraph
-
Threat Investigation:
Read my Medium blog demonstrating how a multi-agent LangGraph system leverages these tools to perform a real-world threat investigation. -
Live Demo:
Explore the interactive Gradio 6.2 demo on Hugging Face Spaces.
# # 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!
# 🤝 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
- 🐙 GitHub: @imouiche
- 📧 Email: mouiche@uwindsor.ca
- 💼 LinkedIn: Inoussa Mouiche, Ph.D.
- 📚 Google Scholar: Publications
🎓 Award Nomination
- Gold Medal: The Governor General's Academic Medal
💼 Open to opportunities in:
- AI/ML Engineering & Research
- Cybersecurity & Threat Intelligence
- Agentic AI Development
- Security Automation & Orchestration
- Academic & Industry Collaborations
# 🙏 Acknowledgments
- Built on MITRE ATT&CK® - the industry standard for adversary tactics and techniques
- Powered by mitreattack-python - official MITRE library
- Implements Model Context Protocol - Anthropic's standard for AI-tool integration
- Inspired by the amazing MCP developer community including R. Jasper, and more...
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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