by Anandb71 · MCP Server · ★ 162
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
cargo install arbor-graph-cli
brew install Anandb71/tap/arbor
Taken from the project's README on GitHub.
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.
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 | 162 |
| Forks | 26 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 64 |
| Last Updated | 2026-10-30 |
| Created | 2026-01-04 |
| Platforms | mcp, rust |
| Est. Tokens | ~24k |
Arbor Graph-native intelligence for codebases. Know what breaks before you break it. Table of Contents The Arbor Philosophy Why Arbor What you get Visual tour Quickstart Installation options MCP integration [La
Looking for a arbor alternative? If you're comparing arbor 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.
Graph-native code intelligence that replaces embedding-based RAG with deterministic program understanding.
The code quality toolkit for the agentic AI era. Find dead code, clones, and scaffolding across 15 languages.
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 comman
wanna develop an app ❓
wanna develop an app ❓
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: