genpark-agent-dynamic-persona-style-adapter-skill

🌟 Overview

genpark-agent-dynamic-persona-style-adapter-skill delivers robust, industrial-grade capabilities engineered for Autonomous Cognitive Agent Execution and Enterprise Self-Healing Operations. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.

Dynamic Agent Persona & Contextual Communication Style Adapter (inspired by Personal AI Copilots). Adapts communication formality, brevity, tone, and technical depth based on channel context, user cognitive load, and sentiment feedback.

💡 Key Capabilities

• Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without pip install overhead or supply-chain vulnerabilities.
• Model Context Protocol (MCP) First: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and Tencent WorkBuddy runtime frameworks.
• Deterministic & Safe: Rigorous mathematical algorithms, cryptographic hashing, and automated self-healing rollback.
• High Concurrency & Low Latency: In-memory state tracking, tree traversal, and optimized regex parsers.

🚀 Quickstart

1. Direct Python Usage

from client import AgentDynamicPersonaStyleAdapter

client = AgentDynamicPersonaStyleAdapter()
result = client.adapt_message_style()
print(result)

2. Standalone MCP Server Execution

Run the MCP server via standard JSON-RPC 2.0 stdio:

python mcp_server.py

Verify standard compliance and self-tests:

python mcp_server.py --test

3. Claude Desktop / Cursor MCP Configuration

Add this tool to your claude_desktop_config.json or Cursor MCP settings:

{
  "mcpServers": {
    "genpark-agent-dynamic-persona-style-adapter-skill": {
      "command": "python",
      "args": ["/absolute/path/to/genpark-agent-dynamic-persona-style-adapter-skill/mcp_server.py"]
    }
  }
}

🛠️ Verification & Testing

Run the included verification suite:

python example_usage.py

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Developed with ❤️ by the GenPark Autonomous Agent Ecosystem Team.