Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@genpark-personal-sleep-recovery-chronotype-coach-skill I'm a night owl. When should I cut caffeine and get morning light for better sleep?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🌐 GenPark MCP Hub Showcase • 📦 Official Website • 📖 Documentation
genpark-personal-sleep-recovery-chronotype-coach-skill is a deterministic, zero-dependency Python skill engineered with 100% production-grade functional parity for personal AI agents, executive decision triage, behavioral habit reinforcement, and cognitive load minimization.
Executive Capability: Chronotype-aligned circadian sleep architecture calculator optimizing 90-minute ultradian cycles, caffeine cutoffs, and light exposure.
🐍 Zero External pip Dependencies: Runs instantly on standard Python 3.9+ with zero environment bloat.
🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf.
🎯 100% Production-Grade Dynamic Execution: Real mathematical scoring, behavioral friction models, and deterministic outputs without static placeholders.
🚀 Human-Centric Optimization: Designed to protect focus, minimize cognitive fatigue, and enhance user agency.
Related MCP server: oura-mcp
graph LR
User([👤 User / Personal Agent Life OS]) -->|Context & Action Stream| MCP[⚡ MCP Server / CLI]
MCP --> Client[🛠️ Personal Agent Skill Client]
Client --> Core[🧠 Behavioral & Cognitive Decision Kernel]
Core --> Output[📊 Prioritized Queue & Elastic Recommendations]
Output --> Userpython example_usage.pyfrom client import PersonalSleepChronotypeCoach
client = PersonalSleepChronotypeCoach()
result = client.run_benchmark_sleep_chronotype()
print(result)Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
claude_desktop_config.json{
"mcpServers": {
"genpark-personal-sleep-recovery-chronotype-coach-skill": {
"command": "python",
"args": ["/path/to/genpark-personal-sleep-recovery-chronotype-coach-skill/mcp_server.py"]
}
}
}Parameter | Type | Required | Description |
|
| Yes | Primary personal message, habit, financial, or sleep context payload |
|
| Yes | Standardized response schema containing actionable executive decisions |
GenPark AI Agent Skills are engineered with zero external dependencies using pure Python standard library code. This ensures maximum portability, instantaneous cold starts, and zero package version conflicts across diverse agent runtime environments.
Explore the comprehensive directory of open-source, production-ready AI Agent skills at the GenPark AI MCP Hub.
Run python mcp_server.py --test to verify MCP protocol discovery and tool schema negotiation.
This server cannot be deployed
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