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 YuzeHao2023 · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Awesome-MCP-Servers safe to install? View the security audit →
Awesome MCP Servers A curated, community-driven list of awesome Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. BTW, we provide a full list of MCP (Master Control Program) Servers, which is compiled by a web crawler and contains approximately 6000 entries. All Documents Call for translators! We're looking for translators to help translate this spec for everyone! Read our documentation in the following languages: [繁體中文](https://github.com/YuzeHao2023/Awesome-MCP-Servers/blob/
| Stars | 1,065 |
| Forks | 303 |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64.0820850033157/100 |
| Open Issues | 329 |
| Last Updated | 2026-08-07 |
| Created | 2025-11-06 |
| Platforms | mcp |
| Est. Tokens | ~23k |
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Awesome-MCP-Servers is A curated list of Model Context Protocol (MCP) servers. It is categorized as a MCP Server with 1.1k GitHub stars.
You can find installation instructions and usage details in the Awesome-MCP-Servers GitHub repository at github.com/YuzeHao2023/Awesome-MCP-Servers. The project has 1.1k stars and 303 forks, indicating an active community.
Awesome-MCP-Servers is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Awesome-MCP-Servers on Agent Skills Hub include awesome-hacking-lists, code-graph-rag, mcp-server-chart. 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: