CyberStrikeAI MCP Server
AIPentest/CyberStrikeAI
The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
AIPentest/CyberStrikeAI is a Go tool licensed under Apache-2.0. The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next. Topics: ai, ai-agents, ai-cybersecurity, ai-penetration-testing, ai-security-tool, ctf-tools, mcp, ai-hacking, pentesting-tools.
Ranked #252 out of 24840 indexed tools.
In the top 2% of all indexed tools.
Has 7,039 GitHub stars.
Has 16 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
7,039 stars → well-known project
Last commit today → actively maintained
188/250 issues closed → decent issue management
16 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
<div align="center"> </div> # CyberStrikeAI [中文](README_CN.md) | [English](README.md) **The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.** CyberStrikeAI connects planning, execution, human oversight, evidence, and replay in one auditable workspace. Built in Go, it combines Eino-powered agents, MCP-native tools, RAG knowledge, visual workflows, and attack-chain modeling and analysis for authorized security operations. **Start here:** [Quick start](#quick-start-one-command-deployment) · [Documentation](docs/en-US/README.md) · [Security hardening](docs/en-US/security-hardening.md) > [!IMPORTANT] > Use CyberStrikeAI only on systems you own or are explicitly authorized to test. For shared or production environments, review the [security model](docs/en-US/security-model.md) and [hardening guide](docs/en-US/security-hardening.md) before enabling high-risk tools, WebSheRead full README on GitHub →
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