AIAny
GitHub

HexStrike AI MCP Agents

Bridges MCP-capable AI agents (Claude, Copilot, Cursor) to 150+ offensive-security tools, letting them autonomously run pentests, vulnerability scans, and bug-bounty workflows. A decision engine picks the right tools and adapts as findings emerge.

Introduction

The hard part of offensive security was never the tools — it was the human stitching dozens of them together by hand, deciding what to run next from the last result. HexStrike moves that orchestration into the model itself. An MCP server exposes 150+ security tools as callable functions, and a decision engine chooses which to run and re-plans in real time as vulnerabilities surface.

What Sets It Apart
  • The loop, not just the tools. A decision engine plus 12+ autonomous agents sequence recon → testing → exploitation and re-plan on each finding, so the model runs a full assessment workflow instead of one-off commands.
  • Whole-kill-chain coverage from one interface. 150+ tools span network recon, web app testing, auth/password attacks, binary analysis, cloud assessment, and forensics, backed by 4,000+ Nuclei templates — no bespoke glue per tool.
  • Bring your own model. It speaks MCP, so Claude Desktop, VS Code Copilot, Cursor, Roo Code, or any MCP-compatible agent can drive it; you're not locked to one vendor's assistant.
Who It's For

Great fit if you do pentesting, bug bounty, or red-team research and want an agent that drives a real toolchain rather than a demo. Look elsewhere if you need a managed, audited, compliance-friendly platform: this is raw offensive tooling that assumes legal authorization, runs intrusive tools at the model's discretion, and an autonomous scan fired at the wrong target is on you. It's effectively a single-maintainer project, so review the code and scope your engagements before trusting it in production.

Information

  • Websitegithub.com
  • OrganizationsHexStrike
  • Authors0x4m4
  • Published date2025/08/14

More Items

Provides a large corpus of runnable 3D programs and a multi-agent harness that generates, executes, measures, visually judges, and repairs executable 3D code to produce editable, verifiable 3D scenes. Includes ~269K runnable programs, 2.03M render–caption pairs, and an automated execution+repair pipeline.

GitHub
AI Agent2026

Runs persistent, self-hosted AI teammates that retain conversation, memory, routines and a sandboxed browser/shell. Supports bring-your-own models, local or remote sandbox providers, voice, team computers and integrations for auditable, controllable agent workflows.

GitHub
AI Agent2026

Lets an AI agent control a real or cloud phone by tapping, typing, scrolling and reading the screen. Works with iPhone via macOS iPhone Mirroring, Android over adb, or rented cloud phones; host-side OCR, accessibility trees and CLI helpers provide verifiable UI actions without jailbreaking. Some manual phone pairing/setup is required.