PentestThinking
PentestThinkingMCP is an advanced reasoning engine for penetration testing that implements both Beam Search and Monte Carlo Tree Search (MCTS) algorithms to systematically analyze and plan multi-stage attack paths. Built by ibrahimsaleem as the foundational implementation for the LIMA research paper on leveraging LLMs for initial machine access, it transforms standard language models into structured pentest advisors by scoring attack steps, recommending appropriate tools (nmap, metasploit, linpeas), and maintaining tree-based attack progression with statistical analysis. The system excels at automated vulnerability chaining, exploit pathfinding optimization, and red team strategy development, making it particularly useful for CTF challenges, Hack The Box machines, and real-world penetration testing scenarios where methodical attack planning and decision tree exploration are critical.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/ibrahimsaleem/pentestthinkingmcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve PentestThinking from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.