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shyhurricane

by double16

Overview

An MCP server designed to assist AI agents in offensive security testing, focusing on efficient enumeration, content indexing, and tool orchestration for vulnerability discovery and exploitation.

Installation

Run Command
docker compose up -d

Environment Variables

  • OLLAMA_MODEL
  • OLLAMA_HOST
  • GEMINI_API_KEY
  • GEMINI_MODEL
  • OPENAI_MODEL
  • OPENAI_API_KEY
  • BEDROCK_MODEL
  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • LOW_POWER
  • OPEN_WORLD
  • ASSISTANT_TOOLS
  • WEBHOOK_API_KEY
  • INTERACT_SERVER
  • INTERACT_TOKEN
  • QDRANT
  • TOOL_CACHE
  • PYTORCH_ENABLE_MPS_FALLBACK
  • ANONYMIZED_TELEMETRY
  • HAYSTACK_TELEMETRY_ENABLED
  • HAYSTACK_TELEMETRY_DISABLED
  • TRANSFORMERS_NO_ADVISORY_WARNINGS
  • HF_HUB_DISABLE_PROGRESS_BARS
  • MKL_NUM_THREADS
  • DISABLE_ELICITATION
  • DOCKER_HOST
  • OLLAMA_HOST

Security Notes

This project is explicitly designed for offensive security testing, which inherently involves high-risk operations. The primary security concern is the `run_unix_command` tool, which allows the AI agent to execute arbitrary Linux/macOS commands on the host (or within a Docker container that has network access, including privileged operations like mounting volumes and building images). Several other tools (e.g., `port_scan`, `spider_website`, `directory_buster`, `web_search`, `oast` capabilities) also interact with external targets in potentially intrusive ways. By default, `DISABLE_ELICITATION` is set to `True` in `docker-compose.dev.yml`, meaning dangerous actions might proceed without explicit user confirmation. The `unix_command` Docker image bundles numerous offensive security tools, and its `entrypoint.sh` persists `/tmp` and `/var/tmp` across invocations, which could lead to sensitive data leakage between different tool runs. HTTP request/response bodies are logged which may contain sensitive data. Given its purpose, these features are intended, but for a general user, running this server poses a significant risk of unintended system compromise or unauthorized network activity.

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Stats

Interest Score33
Security Score3
Cost ClassMedium
Avg Tokens10000
Stars3
Forks1
Last Update2026-01-16

Tags

Offensive SecurityAI AgentLLM OrchestrationPenetration TestingVulnerability Research