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Automate recon, scanning, exploit research, and pentest reporting with a local LLM.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RedTeam MCP" yet — see the docs or source repo.
Run an automated penetration testing workflow on this target: start with asset reconnaissance and port scanning, identify potential vulnerabilities, then summarize key findings and remediation advice by risk level.
A testing summary with recon results, exposed services, potential vulnerabilities, risk ratings, and remediation recommendations.
Using the service versions from the scan results, research related known vulnerabilities and possible exploit paths, explain prerequisites and impact, and provide safe validation ideas without destructive actions.
A structured research output listing vulnerabilities, references, exploitation prerequisites, impact, and safe validation steps.
Based on the full automated test results, generate a penetration test report for a technical team, including scope, methodology, key findings, evidence summary, risk prioritization, and a remediation roadmap.
A clearly structured penetration test report ready for internal review and remediation follow-up.
Run adversarial tests on authorized ML/LLM APIs and generate compliance evidence.
Integrate multiple security tools for AI-assisted pentesting and vulnerability validation.
Connect an LLM to security tools for guided or autonomous penetration testing.
Use AI agents to automate penetration testing and red team assessments.
Orchestrate red team assessments and manage targets, operations, and findings with ATT&CK alignment.
Automate penetration testing, vulnerability validation, and exploitation analysis with AI tools.