Hexstrike Ai
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
by 0x4m4 · 0x4m4/hexstrike-ai
Install
See GitHub repository for installation instructions.
How to use Hexstrike Ai with Claude
Hexstrike Ai is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to ai & ml capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — Hexstrike Ai will appear in the available tools list
About Hexstrike Ai
Hexstrike Ai is an open-source MCP server in the AI & ML category, built in Python. It connects Claude and other MCP-compatible clients to ai & ml systems directly. Source available on GitHub.
Use cases for AI & ML MCP servers
- →Chain AI models and pipelines from a single interface
- →Query model outputs and fine-tuning runs programmatically
- →Automate eval pipelines and benchmark comparisons
- →Connect AI agents to specialized ML infrastructure
Where Hexstrike Ai fits in an MCP workflow
Teams use Hexstrike Ai to give Claude a direct bridge into ai & ml workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
Hexstrike Ai can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to ai & ml systems.
More AI & ML MCP servers
Ruflo
🌊 The leading agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
★ 64,217
Gpt Researcher
An autonomous agent that conducts deep research on any data using any LLM providers
★ 28,277
Funasr
Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
★ 19,185
Auto Claude Code Research In Sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
★ 13,323
Bifrost
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
★ 6,471
Deep Research
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
★ 4,633
Evaluating AI support automation vendors?
Built with MCP?
Altor deploys MCP servers into production for B2B engineering teams.
We connect AI agents to your live systems — ClickHouse, Linear, Stripe, GitHub — using MCP and deploy them to production in 3 weeks. Not demo.
Talk to Altor →