loading…
Search for a command to run...
loading…
PentestThinkingMCP: AI-Driven Multi-Stage Penetration Testing Framework Part of the LIMA Research Project – Accepted at IEEE FMLDS 2025 Developed by Mohammad Ib
PentestThinkingMCP: AI-Driven Multi-Stage Penetration Testing Framework Part of the LIMA Research Project – Accepted at IEEE FMLDS 2025 Developed by Mohammad Ibrahim Saleem, Cybersecurity Researcher, University of Houston PentestThinkingMCP is an AI-powered MCP (Model Context Protocol) server developed as part of the LIMA research project. This work was recently accepted as a full paper at IEEE FMLDS 2025. The server automates and optimizes penetration testing workflows by planning complex, multi-stage attack paths using advanced reasoning methods such as Beam Search and Monte Carlo Tree Search (MCTS) enabling efficient, adaptive, and intelligent exploitation in both real-world and CTF environments. 🚀 Core Features AI-generated step-by-step attack recommendations Context-aware tool suggestions aligned with vulnerabilities Critical path analysis to maximize impact with minimal noise Autonomous attack chain simulation with dynamic environment modeling This framework helps red teamers, researchers, and ethical hackers adopt a strategic, AI-assisted offensive mindset, moving beyond traditional one-off exploits. 📢 Citation Request If you use PentestThinkingMCP in your research, academic work, or projects, please cite our paper: “LIMA: Leveraging Large Language Models and MCP Servers for Initial Machine Access” – IEEE FMLDS 2025.
Smithery CLI connects your agents to thousands of skills and MCP servers directly from the command line. To get started, simply run npx skills add smithery/cli.
npm install -g smithery@latest
Requires Node.js 20+.
smithery mcp search [term] # Search the Smithery registry
smithery mcp add <url> # Add an MCP server connection
smithery mcp list # List your connections
smithery mcp remove <ids...> # Remove connections
Interact with tools from MCP servers connected via smithery mcp.
smithery tool list [connection] # List tools from your connected MCP servers
smithery tool find [query] # Search tools by name or intent
smithery tool get <connection> <tool> # Show full details for one tool
smithery tool call <connection> <tool> [args] # Call a tool
Browse skills on the Smithery Skills Registry and install them with the upstream installer:
npx skills add <skill> # e.g. npx skills add smithery-ai/cli
smithery auth login # Login with Smithery (OAuth)
smithery auth logout # Log out
smithery auth whoami # Check current user
smithery auth token # Mint a service token
smithery auth token --policy '<json>' # Mint a restricted token
smithery namespace list # List your namespaces
smithery namespace use <name> # Set current namespace
smithery mcp publish <url> -n <org/server> # Publish an MCP server URL
smithery mcp publish <bundle.mcpb> -n <org/server> # Publish an MCP bundle
# Search and connect to an MCP server
smithery mcp search "github"
smithery mcp add github --id github
# Find and call tools from your connected MCP servers
smithery tool find "create issue"
smithery tool call github create_issue '{"title":"Bug fix","body":"..."}'
# Browse and install skills
smithery skill search "frontend" --json --page 2
smithery skill add anthropics/frontend-design --agent claude-code
# Publish your MCP server URL
smithery mcp publish https://my-mcp-server.com -n myorg/my-server
# Publish a built MCP bundle
smithery mcp publish ./server.mcpb -n myorg/my-server
git clone https://github.com/smithery-ai/cli
cd cli && pnpm install && pnpm run build
npx . --help
Contributions welcome! Please submit a Pull Request.
Run in your terminal:
claude mcp add pentestthinkingmcp -- npx -y @smithery/cli run ibrahimsaleem/pentestthinkingmcpWeb content fetching and conversion for efficient LLM usage.
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolProvides auto-configuration for setting up an MCP server in Spring Boot applications.
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzNot sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs