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 cyanheads · MCP Server · ★ 292
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is model-context-protocol-resources safe to install? View the security audit →
Model Context Protocol Resources & Guides []() This repository is a collection of guides, utilities, and server implementations for the Model Context Protocol (MCP) created while learning MCP. It reflects my ongoing exploration and development with this exciting new standard for creating powerful Agent capabilities. Questions and feedback are welcome! 🚀 Disclaimer: The resources in this repository (guides, utilities, server implementations, and the MCP TypeScript Template) were developed independently by cyanheads while exploring the Model Context Protocol. This project is not officia
| Stars | 292 |
| Forks | 30 |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 55.329598806995/100 |
| Open Issues | 1 |
| Last Updated | 2025-06-21 |
| Created | 2024-11-27 |
| Platforms | cli, mcp |
| Est. Tokens | ~25k |
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model-context-protocol-resources is Exploring the Model Context Protocol (MCP) through practical guides, clients, and servers I've built while learning about this new protocol.. It is categorized as a MCP Server with 292 GitHub stars.
You can find installation instructions and usage details in the model-context-protocol-resources GitHub repository at github.com/cyanheads/model-context-protocol-resources. The project has 292 stars and 30 forks, indicating an active community.
model-context-protocol-resources is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to model-context-protocol-resources on Agent Skills Hub include claude-prompts, mcp, mcp-batchit. 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: