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., "@Personal Agent Adaptive Deep Work & Focus Guardian start a 90-minute focus block, triage interruptions by VIP urgency, and save a checkpoint"
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.
Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)
Personal Agent Adaptive Deep Work & Focus Guardian. Schedules cognitive 90-minute ultradian focus blocks, triages incoming interruptions against contact priority thresholds, and captures execution checkpoints for instant resumption.
GenPark Official Website: https://www.genpark.ai
LinkedIn Official Page: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)
Related MCP server: UnRemind.me MCP Server
100% Zero External Dependencies: Runs entirely on the Python 3.9+ standard library.
Model Context Protocol (MCP) Standard: Native support for JSON-RPC 2.0 initialize, tools/list, and tools/call.
Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.
Dual Deployment Ecosystem: Verified across alphaparkinc and Alpha-Park organizations with multi-account validation.
from client import PersonalAgentAdaptiveDeepWorkFocusGuardian
def main():
guardian = PersonalAgentAdaptiveDeepWorkFocusGuardian()
ping = {"sender": "CEO", "relationship_tier": "VIP", "message_urgency": "CRITICAL", "text": "Server outage needs review"}
state = {"is_in_deep_work": True, "session_elapsed_mins": 60, "active_task_name": "Quarterly Planning"}
res = guardian.evaluate_interruption_and_schedule(ping, state)
print("--- Focus Guardian Triage Decision ---")
print(f"Decision: {res['decision']}")
print(f"Permitted: {res['interruption_permitted']}")
print(f"Action Token: {res['active_task_resumption_snapshot']}")
print(f"Advice: {res['delivery_advice']}")
if __name__ == "__main__":
main()
Start standard JSON-RPC 2.0 server over stdio:
python mcp_server.pyExecute embedded test harness:
python mcp_server.py --testInspect skill.json for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.
Licensed under the MIT License. Copyright © 2026 GenPark AI. Follow us on LinkedIn: https://www.linkedin.com/company/92955550 | https://www.llinkedin.com/company/92955550
This server cannot be deployed
ADHD system of record for agents: tasks, goals, loops, calendar, focus stats.
Brain dump, routines, task planning, focus, and instant thought retrieval
Privacy-first work tracking with summaries, reports, coaching, and AI-ready long-term memory.
Gives your AI assistant persistent memory and intelligence about your work patterns.
