by ever-works · MCP Server · ★ 103
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 103 |
| Forks | 104 |
| Category | MCP Server |
| License | CC-BY-SA-4.0 |
| Quality Score | 51/100 |
| Open Issues | 118 |
| Last Updated | 2026-08-04 |
| Created | 2025-05-14 |
| Platforms | mcp |
| Est. Tokens | ~28k |
Awesome MCP Servers A curated list of the best MCP Servers, featuring top solutions, libraries, tools, and more. 🔥 Acknowledgements This directory was built and is maintained using the Ever Works Directory Builder platform. The public-facing website is based on the open-source Directory Website Template.
These tools work well together with awesome-mcp-servers for enhanced workflows:
Looking for a awesome-mcp-servers alternative? If you're comparing awesome-mcp-servers 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.
A curated list of Hosted & Managed Model Context Protocol (MCP) Servers accessible via a simple URL endpoint.
🏆 A ranked list of MCP servers. Updated weekly.
MCPSDK.dev(ToolSDK.ai)'s Awesome MCP Servers and Packages Registry and Database with Structured JSON configura
Build Awesome MCPs with Awesome Best Practices for MCP Servers and MCP Clients
Awesome list of MCP servers for interacting with hardware and the physical world.
A curated list of resources, tools, papers, and platforms for prompt engineering in large language models (LLM
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: