awesome-mcp-servers — security grade SAFE, quality 57/100

Security audit verdict: SAFE · quality 57/100

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 TensorBlock · MCP Server · ★ 862

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is awesome-mcp-servers safe to install? View the security audit →

About awesome-mcp-servers

Awesome MCP Servers A comprehensive collection of Model Context Protocol (MCP) servers. Join our Discord to learn more about what we're building ↗ ✨✨✨ Learn more about Forge - an open-source middleware servic

anthropicawesomegenaimcpmcp-servermcp-server-discoverymcp-serversmodel-context-protocol

Quick Facts

Stars862
Forks908
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score56.9967912567532/100
Open Issues3
Last Updated2026-09-22
Created2025-04-04
Platformsmcp, node
Est. Tokens~26k

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Frequently Asked Questions

What is awesome-mcp-servers?

awesome-mcp-servers is A comprehensive collection of Model Context Protocol (MCP) servers. It is categorized as a MCP Server with 862 GitHub stars.

What programming language is awesome-mcp-servers written in?

awesome-mcp-servers is primarily written in TypeScript. It covers topics such as anthropic, awesome, genai.

How do I install or use awesome-mcp-servers?

You can find installation instructions and usage details in the awesome-mcp-servers GitHub repository at github.com/TensorBlock/awesome-mcp-servers. The project has 862 stars and 908 forks, indicating an active community.

What license does awesome-mcp-servers use?

awesome-mcp-servers is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to awesome-mcp-servers?

The top alternatives to awesome-mcp-servers on Agent Skills Hub include mcp-fusion, Unity-MCP, linkedin-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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