awesome-claude-dxt — MCP Server by milisp

Last updated: 2026-05-01 · Indexed by AgentSkillsHub · Auto-synced every 8h

About awesome-claude-dxt

Awesome Claude Desktop Extensions (dxt) (not only Claude) mcpb

awesome awesome-list claude claude-desktop dxt mcp mcp-server mcp-servers mcp-tools self-hosted

Quick Facts

Stars	171
Forks	23
Language	JavaScript
Category	MCP Server
License	MIT
Quality Score	39.75/100
Open Issues	2
Last Updated	2026-05-01
Created	2025-06-27
Platforms	claude-code, mcp, node
Est. Tokens	~96k

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%)

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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 171 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 171 stars and 23 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 golf, mcp-searxng, awesome-mcp-servers. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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