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 wong2 · MCP Server · ★ 4.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-mcp-servers safe to install? View the security audit →
Awesome MCP Servers [!NOTE] We do not accept PRs. Please submit your MCP on the website: https://mcpservers.org/submit Sponsors Access reliable, real-time or historical web data at scale with Bright Data MCP. Enjoy 5,000 MCP requests every month - for free Alpha Vantage MCP Server - Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more Reference Servers These servers aim to demonstrate MCP features and the TypeScript and Python SDKs. Everything - Reference / test server with prompts, resources, and tools Fetch - Web content fetching and conversion for efficient LLM usage [Filesyst
| Stars | 4,317 |
| Forks | 2,055 |
| Category | MCP Server |
| License | MIT |
| Quality Score | 52.2654880896643/100 |
| Open Issues | 36 |
| Last Updated | 2026-07-13 |
| Created | 2024-11-28 |
| Platforms | mcp |
| Est. Tokens | ~28k |
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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cr
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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 4.3k GitHub stars.
You can find installation instructions and usage details in the awesome-mcp-servers GitHub repository at github.com/wong2/awesome-mcp-servers. The project has 4.3k stars and 2055 forks, indicating an active community.
awesome-mcp-servers is released under the MIT 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 mcp-for-beginners. 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: