Tool server

SwarmAttacker vs HexStrike AI

An MCP server that exposes 150-plus command-line security tools to an LLM client such as Claude or Codex, rather than an autonomous agent of its own.

Vendor
Muhammad Osama (0x4m4)
Licence
MIT
Pricing
Free and open source. You supply the LLM client and the toolchain.
Checked
September 2, 2026
CapabilitySwarmAttacker8 of 8HexStrike AI3 of 8
FreeYes.
Runs on a ChatGPT subscriptionPartial.
Custom prompts & skillsNot found.
Safety-refusal handlingNot found.
Parallel multi-agent swarmNot found.
MIT-licensed open sourceYes.
Black-box from a URLNot found.
Model-agnosticYes.
  • yes
  • not found or only partly

Hover a mark for the evidence. A cross means the capability was not found, or only partly found, on HexStrike AI's public pages or repository on September 2, 2026, not that it is technically impossible.

Profile

What is HexStrike AI?

HexStrike AI is an open-source, MIT-licensed Model Context Protocol server created by Muhammad Osama. It exposes more than 150 installed command-line security tools, such as nmap, nuclei and sqlmap, as callable tools to any MCP-compatible LLM client like Claude Desktop, Cursor or VS Code Copilot. The codebase is essentially three Python files: an MCP bridge, a tool-execution server and a config.

Crucially, HexStrike ships no LLM of its own. The connected client's model does all the reasoning and decides which tools to invoke, so it is a bridge between a chat model and a local toolchain, not a self-contained agent. Its "12-plus AI agents" are heuristic Python workflow classes, and its concurrency parallelises tool processes, not reasoning agents. It has no user-facing skill or prompt system beyond editing the Python, and no refusal handling; instead the README coaches users to preface prompts with an authorization pretext to get past the client model's ethics.

It reached around 11,500 stars within a year, though development is thin, with two contributors and no tagged releases. It publishes only self-reported metrics with no methodology and appears in no independent benchmark. In September 2025, Check Point reported that threat actors discussed using it against Citrix zero-days, while noting the exploitation itself was unconfirmed; separately, open issues flag the tool-execution server as unauthenticated and network-exposed, enabling remote code execution on misconfigured hosts. Its strength is tool breadth; a human still drives the session phase by phase.

In SwarmAttacker's favour

Where it stands out.

  • 01A self-contained agent versus a tool server. SwarmAttacker takes a URL and runs end-to-end; HexStrike only exposes tools and needs a human-driven chat client to reason.
  • 02Genuine parallel reasoning agents, where HexStrike parallelises tool processes under one external model.
  • 03Built-in refusal handling, where HexStrike has none and instead coaches users to talk past the model's guardrails.
  • 04User-injectable skills, where customising HexStrike means editing its Python.

In HexStrike AI's favour

Where it is stronger.

  • 01Tool breadth: more than 150 real binaries across network, web, binary, cloud and forensics work.
  • 02Client and model flexibility: any MCP client and any model, including local ones.
  • 03A large, well-known ecosystem with many third-party guides, at around 11,500 stars.
  • 04Both are MIT-licensed and free to run.

Verdict

Which one should you pick?

Pick HexStrike if you want to drive a huge local toolchain yourself from a chat client and value breadth over autonomy. Pick SwarmAttacker if you want an agent that runs the whole black-box web assessment on its own, in parallel, with refusals handled.

Turn a URL into a security report.

Open source, MIT licensed, and it runs on the ChatGPT plan you already pay for. Install it and point it at a target you own.

brew install joloooo/swarm/swarm
Source on GitHub