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MITRE ATT&CK

by Montimageversion 0.3.1i★ –iRuns on your computer
Registry nameio.github.luongnv89/mitre-mcp

Install

Overview

Description from the maker (original English)

MCP server exposing the MITRE ATT&CK framework via the official MCP Python SDK.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "mitre": {
      "command": "uvx",
      "args": [
        "mitre-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mitre -- uvx mitre-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mitre": {
      "command": "uvx",
      "args": [
        "mitre-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "mitre": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mitre-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ! Caution

    Maker matches the repo

    The publisher (luongnv89) is not the repo owner (Montimage); someone else may have listed it

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32708 servers in this category
  • Published to the registry more recently than 1% of the other 32708 servers in this category
  • Basic checks equal to or better than 28% of the other 32708 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MITRE ATT&CK safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.1) reached the registry 12 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, OpenTakeoff

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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OpenTakeoff

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Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

mitre-mcp: MITRE ATT&CK MCP Server

Production-ready Model Context Protocol (MCP) server that exposes the MITRE ATT&CK® framework to LLMs, AI assistants, and automation workflows. Built with the official MCP Python SDK and mitreattack-python library for secure, high-performance access to adversary tactics, techniques, groups, software, and mitigations.

Available in the [MCP Registry](https://registry.modelcontextprotocol.io) (search for io.github.luongnv89/mitre-mcp).

Highlights

  • LLM-native experience – Seamless integration with Claude, Windsurf, Cursor, and any MCP-compatible client
  • Secure-by-default – Validated inputs, TLS verification, disk-space checks, and structured error handling
  • High performance – O(1) technique lookups using pre-built indices (80-95% faster than scanning)
  • Flexible deployment – stdio for local clients or HTTP server for web-based integrations

Table of Contents

  • Features
  • Available MCP Tools
  • Quick Start
  • Web Frontend
  • Documentation
  • Configuration
  • Performance
  • Programmatic API
  • Development
  • Troubleshooting
  • FAQ
  • License

Features

  • Comprehensive MITRE ATT&CK Coverage - All techniques, tactics, groups, software, and mitigations
  • Multi-Domain Support - Enterprise, Mobile, and ICS ATT&CK domains
  • Intelligent Caching - Atomic, per-user caching with conditional refreshes, stale-serve with background refresh, and configurable expiry (default: 14 days)
  • Fast Startup - Enterprise loads eagerly; mobile and ICS domains lazy-load on first use
  • Performance Optimized - O(1) lookups using pre-built indices (80-95% faster)
  • Dual Transport Modes - stdio for local clients, HTTP for web integrations
  • CORS-Enabled HTTP Server - Async notifications and cross-origin request support
  • Comprehensive Testing - pytest suite with an enforced coverage gate
  • Pre-commit Quality Checks - Automated formatting, linting, type checking, and security scanning
  • Input Validation - Secure-by-default with validated inputs and sanitized responses
  • Programmatic API - Python and Node.js clients (see API-INTEGRATION.md)

Available MCP Tools

Tool NameDescription
get_techniquesList all techniques with filtering options
get_technique_by_idLook up specific technique by ID (e.g., T1055)
get_techniques_by_tacticGet techniques for a specific tactic (e.g., persistence)
get_tacticsList all tactical categories
get_groupsList all threat actor groups
get_techniques_used_by_groupGet techniques used by a specific group (e.g., APT29)
get_softwareList malware and tools with filtering
get_mitigationsList all security mitigations
get_techniques_mitigated_by_mitigationGet techniques addressed by a specific mitigation

All list and relationship tools accept limit/offset paging parameters (default page size 20, maximum 200 — see MITRE_DEFAULT_PAGE_SIZE and MITRE_MAX_PAGE_SIZE in CONTRIBUTING.md) and return a pagination block (total, offset, limit, has_more).

Quick Start

Installation
  1. Create and activate a virtual environment:
python3 -m venv .venv

source .venv/bin/activate # On Windows: .venv\Scripts\activate.bat

  1. Install from PyPI:
pip install mitre-mcp
  1. Verify installation:
mitre-mcp --help
HTTP Mode (Recommended)

Start the server:

mitre-mcp --http

Expected output:

2025-11-17 22:40:10,991 - mitre_mcp.mitre_mcp_server - INFO - Starting MITRE ATT&CK MCP Server (HTTP mode on localhost:8000)

====================================================================== MITRE ATT&CK MCP Server is ready (Streamable HTTP mode) Server URL: http://localhost:8000 MCP Endpoint: http://localhost:8000/mcp

Add this to your MCP client configuration: { "mcpServers": { "mitreattack": { "url": "http://localhost:8000/mcp" } } } ======================================================================

Configure your MCP client:

Add this JSON to your client's configuration file:

{

"mcpServers": { "mitreattack": { "url": "http://localhost:8000/mcp" } } }

Configuration file locations:

  • macOS (Claude Desktop): ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows (Claude Desktop): %APPDATA%\Claude\claude_desktop_config.json
  • Linux (Claude Desktop): ~/.config/Claude/claude_desktop_config.json
  • VSCode: Configure in your MCP extension settings

Custom host and port:

mitre-mcp --http --host 0.0.0.0 --port 8080

Then use http://your-server-ip:8080/mcp in your client configuration.

Security — a non-loopback bind is unauthenticated by default.

Binding --host 0.0.0.0 (or any non-loopback address) exposes the MCP

endpoint to the whole network: the data is public, but the endpoint is

an open CPU and memory amplifier. Either set MITRE_HTTP_AUTH_TOKEN

so every request must carry Authorization: Bearer :

`bash

MITRE_HTTP_AUTH_TOKEN=$(openssl rand -hex 32) mitre-mcp --http --host 0.0.0.0 --port 8080

`

or place an authenticating reverse proxy in front of a loopback-only

server — nginx example (TLS + basic auth → 127.0.0.1:8000):

`nginx

server {

listen 443 ssl;

server_name mcp.example.com;

ssl_certificate /etc/nginx/certs/mcp.example.com.pem;

ssl_certificate_key /etc/nginx/certs/mcp.example.com.key;

location / {

auth_basic "mitre-mcp";

auth_basic_user_file /etc/nginx/.htpasswd;

proxy_pass http://127.0.0.1:8000;

proxy_set_header Host $host;

}

}

`

The server logs a warning at startup whenever it binds a non-loopback

host without MITRE_HTTP_AUTH_TOKEN set.

Why HTTP mode?

  • Multiple clients can connect simultaneously
  • Better concurrency and async support
  • Easier debugging with HTTP tools
  • CORS support for web-based clients
  • No path configuration needed
stdio Mode (Alternative)

For local-only clients that require stdio transport:

mitre-mcp

Client configuration:

{

"mcpServers": { "mitreattack": { "command": "/absolute/path/to/.venv/bin/python", "args": ["-m", "mitre_mcp.mitre_mcp_server"] } } }

Note: Use absolute paths. HTTP mode is recommended for most use cases.

Force Data Download

Force a fresh download of MITRE ATT&CK data:

mitre-mcp --http --force-download
Example Screenshots

VSCode Configuration:

Tool Invocation:

Results:

Web Frontend

A React chat UI lives in frontend/. A hosted copy is at https://montimage.github.io/mitre-mcp/. That public HTTPS page can call cloud LLM providers (Gemini, OpenRouter). It cannot reach anything on this machine — mitre-mcp on localhost:8000, Ollama, LM Studio, or any other loopback endpoint. The browser blocks public sites from the loopback address space (net::ERR_SSL_PROTOCOL_ERROR if it upgrades the MCP URL to https://localhost:8000/mcp, CORS / private-network errors for http://localhost:…/v1/models).

Use the local UI whenever the MCP server or the LLM runs on your computer.

Local setup (MCP server + chat UI)

Two terminals, from a clone of this repository.

1. Install and start the MCP server (Python >= 3.11):

uv sync --locked --extra dev

source .venv/bin/activate mitre-mcp --http

Wait for MCP Endpoint: http://localhost:8000/mcp. The first start downloads ATT&CK data into ~/.cache/mitre-mcp.

2. Start the chat UI (Node 24):

cd frontend

npm ci npm run dev

Open http://localhost:5173/ — not the GitHub Pages URL.

3. Settings (gear in the chat header):

SettingLocal value
MCP host / portlocalhost / 8000 (dev proxies /mcp to the server)
LLM providerOllama, Gemini, OpenRouter, or OpenAI-compatible

For a local OpenAI-compatible server (LM Studio, llama.cpp, vLLM, …):

  • Provider: OpenAI-compatible
  • Endpoint URL: http://localhost: /v1 (example: http://localhost:20128/v1)
  • Model: an id the endpoint lists at /v1/models
  • API key: leave empty unless that server requires one

The endpoint must allow CORS from http://localhost:5173. If Ollama is not running, do not leave Ollama selected — the default probe hits localhost:11434 and Vite logs http proxy error: /api/tags.

For more details, see frontend/README.md.

Documentation

We provide three comprehensive guides tailored to different use cases:

1. Beginner's Guide

[Beginner-Playbook.md](Beginner-Playbook.md) - For those new to MITRE ATT&CK or cybersecurity

Ideal for:

  • Non-technical users
  • Security awareness training
  • Basic threat intelligence
  • General cybersecurity education
2. Advanced Playbook

[Playbook.md](Playbook.md) - For security professionals using MCP clients

Ideal for:

  • Security analysts
  • Threat hunters
  • Incident responders
  • Security engineers

Includes 10 ready-to-use scenarios:

  • Threat Intelligence
  • Detection Engineering
  • Threat Hunting
  • Red Teaming
  • Security Assessment
  • Incident Response
  • Security Operations
  • Security Training
  • Vendor Evaluation
  • Risk Management
3. API Integration Guide

[API-INTEGRATION.md](API-INTEGRATION.md) - Fo

Only the beginning is shown; read the rest in the repo

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