awesome-claude-dxt — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

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 milisp · MCP Server · ★ 180

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

🔒 Is awesome-claude-dxt safe to install? View the security audit →

About awesome-claude-dxt

Awesome Claude dxt A curated list of awesome (not only Claude) Desktop Extensions, tools, and resources What is DXT dxt is Desktop Extensions: One-click MCP server installation for Claude Desktop and other Desktop apps [!TIP] ⭐ Star the repo and follow milisp on X and github for more. Feature Projects mcp-linker - mcp manager, add & syncs MCP server configurations across clients like Claude, Cursor milisp/codexia - The

awesomeawesome-listclaudeclaude-desktopdxtmcpmcp-servermcp-serversmcp-toolsself-hosted

Quick Facts

Stars180
Forks39
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score59.727870661697/100
Open Issues11
Last Updated2026-09-13
Created2025-06-27
Platformsclaude-code, mcp, node
Est. Tokens~25k

Compatible Skills

These tools work well together with awesome-claude-dxt for enhanced workflows:

  • claude-cowork-linux — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • AbsolutelySkilled — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • awesome-agent-skills — semantic(0.27)+complementary+similar_pop+shared_platform (50%)
  • awesome-claude — semantic(0.36)+complementary+similar_pop+shared_platform (48%)
  • awesome-claude-code — semantic(0.34)+complementary+similar_pop+shared_platform (47%)

awesome-claude-dxt alternative? Top 6 similar tools

Looking for a awesome-claude-dxt alternative? If you're comparing awesome-claude-dxt 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.

  • ollama-mcp by rawveg · ⭐ 170

    An MCP Server for Ollama

  • awesome-mcp-servers by TensorBlock · ⭐ 860

    A comprehensive collection of Model Context Protocol (MCP) servers

  • golf by golf-mcp · ⭐ 840

    Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth,

  • awesome-mcp-security by Puliczek · ⭐ 726

    🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️

  • wcgw by rusiaaman · ⭐ 674

    Shell and coding agent on mcp clients

  • gram by speakeasy-api · ⭐ 270

    Securely scale AI usage across your organization. A single stack to Connect, Secure, Observe and Distribute ag

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Frequently Asked Questions

What is awesome-claude-dxt?

awesome-claude-dxt is Awesome Claude Desktop Extensions (dxt) (not only Claude) mcpb. It is categorized as a MCP Server with 180 GitHub stars.

What programming language is awesome-claude-dxt written in?

awesome-claude-dxt is primarily written in JavaScript. It covers topics such as awesome, awesome-list, claude.

How do I install or use awesome-claude-dxt?

You can find installation instructions and usage details in the awesome-claude-dxt GitHub repository at github.com/milisp/awesome-claude-dxt. The project has 180 stars and 39 forks, indicating an active community.

What license does awesome-claude-dxt use?

awesome-claude-dxt 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-claude-dxt?

The top alternatives to awesome-claude-dxt on Agent Skills Hub include ollama-mcp, awesome-mcp-servers, golf. 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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