Unburden
by ghostvyle
Autonomous pentesting assistant that integrates a locally deployed LLM with MCP servers to automate reconnaissance, analysis and offensive security workflows.
📊 Score Breakdown
Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology →
ℹ️ Details
Category
🛡️ Security & Monitoring
Ecosystem
MCP Server
Language
Python
Pricing
Free
License
—
Status
Active
Platforms
claude
📈 GitHub Signals
1
Stars
1
Forks
0
Commits (30d)
0
Open Issues
Last commit: 1 months ago
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