by lktiep · MCP Server · ★ 97
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/lktiep/cortex-hub.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 97 |
| Forks | 45 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-24 |
| Created | 2026-03-18 |
| Platforms | claude-code, docker, mcp, node |
| Est. Tokens | ~19k |
Cortex Hub Self-hosted AI Agent Memory + Code Intelligence Platform One MCP endpoint for every AI agent — persistent memory, AST-aware code search, quality enforcement. Why · Features · Benchmarks · Quick Start · MCP Tools · Docs Why Cortex? Every AI coding agent works in isolation. Switch IDE, switch machine, switch project — the agent starts from zero.
These tools work well together with cortex-hub for enhanced workflows:
Looking for a cortex-hub alternative? If you're comparing cortex-hub with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
MCP Fusion - The framework for AI-native MCP servers.
📜 An MCP server for conversation history search and retrieval in Claude Code
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Turn feature specs into merged PRs with a self-supervising swarm of coding agents — parallel execution, isolat
Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions
Cross-language-safe code-intelligence MCP for AI agents: 13 languages, family-gated call graph, blast radius,
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: