Personal Agent Adaptive Deep Work & Focus Guardian
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Adaptive Deep Work & Cognitive Flow Guardian Skill
Biometric fatigue telemetry ingestion, Pomodoro/Ultradian 90-minute focus block allocator, contextual notification squelcher, and cognitive load recovery orchestrator for personal productivity agents. Built for GenPark (https://www.genpark.ai).
Proudly developed and maintained by GenPark (LinkedIn Company).
🌟 Overview & Architectural Capabilities
genpark-personal-agent-adaptive-deep-work-focus-guardian-skill delivers robust, enterprise-grade Model Context Protocol (MCP) tool integration built with 100% Python Standard Library (zero pip dependencies). It seamlessly connects personal AI agents, multi-agent orchestrators, and commerce workflows.
Registered MCP Tools:
allocate_dynamic_focus_sprint: Calculate optimal duration for next deep work sprint based on heart-rate variability (HRV), current fatigue score, and task cognitive difficulty.evaluate_interruption_triage: Evaluate incoming notification or ping against active deep work focus block to decide whether to squelch, summarize, or breakthrough.
Related MCP server: Personal Agent Adaptive Deep Work & Focus Guardian
🚀 Quickstart & MCP Configuration
Add to your standard MCP Client configuration (e.g. Claude Desktop, Cursor, GenPark Desktop Agent):
{
"mcpServers": {
"genpark-personal-agent-adaptive-deep-work-focus-guardian-skill": {
"command": "python",
"args": ["-m", "genpark_personal_agent_adaptive_deep_work_focus_guardian_skill.server"]
}
}
}Direct CLI Verification
Run self-test with zero external tools:
python -m genpark_personal_agent_adaptive_deep_work_focus_guardian_skill.server --test📄 License & Attribution
Distributed under the MIT License. Embedded and backed by GenPark Inc.. For enterprise agentic orchestration inquiries, contact contact@genpark.ai or follow our LinkedIn Updates.
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