No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by kunal12203 · MCP Server · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is GrapeRoot safe to install? View the security audit →
Compounding Context for AI Coding Assistants Website · Docs · Benchmarks · Discord 🌐 Read this in your language: English · 中文 · Español · हिंदी · Français · Deutsch ·
| Stars | 1,038 |
| Forks | 122 |
| Language | PowerShell |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 74.3662405791346/100 |
| Open Issues | 21 |
| Last Updated | 2026-09-03 |
| Created | 2026-02-21 |
| Platforms | claude-code, gemini, mcp |
| Est. Tokens | ~19k |
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GrapeRoot is Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode. It is categorized as a MCP Server with 1.0k GitHub stars.
GrapeRoot is primarily written in PowerShell. It covers topics such as ai-coding, claude-code, context-engine.
You can find installation instructions and usage details in the GrapeRoot GitHub repository at github.com/kunal12203/GrapeRoot. The project has 1.0k stars and 122 forks, indicating an active community.
GrapeRoot is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to GrapeRoot on Agent Skills Hub include Overture, Unity-MCP, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: