kagan-legacy

by kagan-sh · MCP Server · ★ 109

About kagan-legacy

The Orchestration Layer for AI Coding Agents

aiai-agentsantrophicclaudeclaude-codeclicodexgeminikagankanban

Quick Facts

Stars109
Forks7
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score55.0341650787553/100
Open Issues5
Last Updated2026-07-07
Created2026-01-25
Platformsclaude-code, cli, codex, gemini, mcp, python
Est. Tokens~13k

Compatible Skills

These tools work well together with kagan-legacy for enhanced workflows:

  • lazyclaude — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • fast-resume — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • claude-command-center — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • agentic-fleet-hub — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)

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Frequently Asked Questions

What is kagan-legacy?

kagan-legacy is The Orchestration Layer for AI Coding Agents. It is categorized as a MCP Server with 109 GitHub stars.

What programming language is kagan-legacy written in?

kagan-legacy is primarily written in Python. It covers topics such as ai, ai-agents, antrophic.

How do I install or use kagan-legacy?

You can find installation instructions and usage details in the kagan-legacy GitHub repository at github.com/kagan-sh/kagan-legacy. The project has 109 stars and 7 forks, indicating an active community.

What license does kagan-legacy use?

kagan-legacy is released under the MIT license, making it free to use and modify according to the license terms.

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