Native Model Context Protocol (MCP) server providing typed state-action schema arbitration, deterministic action dispatch, and token-saving pre-escalation filters.
genpark-jev-typed-state-action-router-mcp
Production-Grade Personal AI Agent & Cognition Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation
genpark-jev-typed-state-action-router-mcp is a deterministic, zero-dependency Python skill and native Model Context Protocol (MCP) server engineered for next-generation personal AI agents. It distills core architectural principles from Meta (ambient multimodal perception), Muse (continuous episodic memory), Instinct (zero-prompt proactive agency), and Jev (System-1 sub-millisecond typed decision cognition).
Executive Capability: Native Model Context Protocol (MCP) server providing typed state-action schema arbitration, deterministic action dispatch, and token-saving pre-escalation filters.
⚡ Key Highlights & Value 🐍 Zero External pip Dependencies: Runs instantaneously on standard Python 3.9+ with zero environment bloat. 🔌 Native Model Context Protocol (MCP): Plugs directly into Claude Desktop, Cursor IDE, Windsurf, and custom agent swarms. 🧠 System-1 Low-Latency Cognition: Slashes unnecessary frontier LLM invocations by routing routine and reflexive decisions at up to 200x faster execution speed. 🛡️ Safety & Privacy Guardrails: Enforces reversible execution checkpoints, strict token budgets, and local-first memory retention.
Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
From the project README.
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Native Model Context Protocol (MCP) server providing typed state-action schema arbitration, deterministic action dispatch, and token-saving pre-escalation filters.
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Alpha-Park/genpark-meta-muse-episodic-memory-graph-mcpNative Model Context Protocol (MCP) server fusing Meta ambient multimodal perception with Muse continuous episodic memory streams and Ebbinghaus recency decay.
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