orchestkit — MCP Server by yonatangross

by yonatangross · MCP Server · ★ 193

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

About orchestkit

OrchestKit Stop explaining your stack. Start shipping. 111 skills · 37 agents · 210 hooks Explore the Docs → · OrchestKit Users Group → Skill browser, demo gallery, setup wizard Contents Quick Start Why OrchestKit? What You Get Key Commands Configuration Install Release Channels FAQ Development What's New Community Quick Start bash /plugin marketplace add yonatangross/orchestkit /

agentsai-developmentclaude-codeclaude-pluginfastapilanggraphllmmcpragreact

Quick Facts

Stars193
Forks15
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score61.14/100
Open Issues74
Last Updated2026-06-21
Created2025-12-31
Platformsclaude-code, mcp, node
Est. Tokens~16k

orchestkit alternative? Top 6 similar tools

Looking for a orchestkit alternative? If you're comparing orchestkit 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.

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Frequently Asked Questions

What is orchestkit?

orchestkit is The Complete AI Development Toolkit for Claude Code — 103 skills, 36 agents, 172 hooks. Production-ready patterns for full-stack development.. It is categorized as a MCP Server with 193 GitHub stars.

What programming language is orchestkit written in?

orchestkit is primarily written in TypeScript. It covers topics such as agents, ai-development, claude-code.

How do I install or use orchestkit?

You can find installation instructions and usage details in the orchestkit GitHub repository at github.com/yonatangross/orchestkit. The project has 193 stars and 15 forks, indicating an active community.

What license does orchestkit use?

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

What are the best alternatives to orchestkit?

The top alternatives to orchestkit on Agent Skills Hub include claudex, agent-skills, flow-like. 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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