Direct Agentic Control for Offensive Ops
Give AI assistants secure, containerized execution rights to run network audits, OSINT reconnaissance, and vulnerability assessments via the Model Context Protocol.
Engineered for Automated Auditing
Zero-friction integration between frontier LLMs and standard security toolchains.
Dockerized Execution
Runs cleanly inside isolated Docker instances. Tools, scripts, and scanners do not pollute or compromise your local host environment.
Native MCP Interface
Built directly atop the Model Context Protocol. Exposes tools, execution parameters, and structured outputs directly to Claude and compatible agent runtimes.
Network & Target Enumeration
Equip LLMs with actionable offensive capabilities: port scanning, service identification, automated banner grabbing, and DNS recon.
How It Interacts
Standardized stdin/stdout JSON-RPC piping between Claude and your Docker runtime.
Claude Handshake
Claude reads tool definitions and schema directly from the initialized container via standard MCP JSON-RPC protocol.
Sandboxed Invocation
Prompt instructions turn into specific tool parameters sent into the isolated ramgameer/pentest-mcp:latest container.
Structured Findings
Scan results and raw terminal outputs stream back into context for real-time analysis, correlation, and automated reporting.