Autonomous Cyber Red Team

Name: Autonomous Cyber Red Team
Author: apifyforge

@apifyforge

About Autonomous Cyber Red Team

Autonomous cyber red team intelligence for AI agents — this MCP server gives Claude, GPT-4o, and any MCP-compatible agent the ability to run quantitative attack simulations, synthesize exploit chains, forecast vulnerability emergence, and model adversary behavior using eight rigo

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "autonomous-cyber-red-team-mcp": {
      "url": "https://ryanclinton--autonomous-cyber-red-team-mcp.apify.actor/mcp"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Autonomous Cyber Red Team?

Autonomous Cyber Red Team is an MCP server that gives AI agents the ability to run quantitative attack simulations, synthesize exploit chains, forecast vulnerability emergence, and model adversary behavior using eight mathematically rigorous frameworks. It aggregates live data from 15 cybersecurity sources in parallel and outputs structured, reproducible cyber risk intelligence. It is built for security engineers, threat analysts, and AI agents.

How to use Autonomous Cyber Red Team?

Add the server to your MCP client (e.g., Claude Desktop, Cursor, Windsurf) using a configuration JSON with the URL https://ryanclinton--autonomous-cyber-red-team-mcp.apify.actor/mcp. You may optionally include an Authorization header with your Apify API token. No local infrastructure is needed; the server runs on the Apify platform.

Key features of Autonomous Cyber Red Team

8 distinct mathematical frameworks from first principles in TypeScript
15 live data sources queried in parallel per tool call
Attack graph construction from heterogeneous inputs with CVSS-weighted edges
HSVI2 belief-space planning for POSG solution
CVSS-admissible A* heuristic for optimal-cost attack paths
Power-law Hawkes kernel for long-memory CVE clustering forecasts
Fictitious play Nash equilibrium for Colonel Blotto security budget games
Exp3 importance-weighted updates for adaptive adversary tracking

Use cases of Autonomous Cyber Red Team

Penetration testing preparation with multi-step AND-OR attack graph discovery
Security budget allocation and CISO reporting using Colonel Blotto game outputs
Vulnerability management and patch prioritization with 30/90-day CVE forecasting
Cyber insurance underwriting and actuarial pricing via extreme value tail risk
APT tracking and threat intelligence with Exp3 bandit technique prediction

FAQ from Autonomous Cyber Red Team

What data sources does Autonomous Cyber Red Team query?

It aggregates live data from 15 sources in parallel: NVD, CISA KEV, Censys, DNS, SSL transparency logs, WHOIS, GitHub, StackExchange, Hacker News, OFAC, OpenSanctions, IP geolocation, tech stack detection, website monitoring, and FRED economic data.

What runtime environment is required?

No self-hosted infrastructure is needed. The server runs in Apify standby mode, requiring only an Apify account and API token. Scheduling, spending limits, and webhooks are provided by the Apify platform.

How much do tool calls cost?

Each tool has a fixed credit price, ranging from $0.030 to $0.045 per call, as listed in the tool table. Spend limits can be set per session to prevent cost overruns.

Are the outputs reproducible?

Yes – a seeded PRNG (mulberry32) with query-derived seed ensures deterministic outputs for the same input across runs.

How does this compare to manual red teaming?

Manual engagements cost $15,000–50,000 and produce stale results quickly. This MCP server automates the quantitative layer in 60–180 seconds using 15 live data sources and mathematically grounded outputs.