genpark-agent-mesh-state-blackboard-deconfliction-skill

🌟 Overview

genpark-agent-mesh-state-blackboard-deconfliction-skill delivers robust, industrial-grade capabilities engineered for Multi-Agent Collaborative Swarms and Enterprise Workplace Execution. 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.

Universal Multi-Agent Mesh State Blackboard & Conflict Deconfliction Engine. Coordinates shared multi-agent state spaces, detects concurrent mutation race conditions, executes vector clock synchronization, and resolves conflicting decisions using consensus arbitration.

💡 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 synchronization models, cryptographic hashing, AST syntax trees, and strict policy boundary validation.
• High Concurrency & Low Latency: In-memory thread-safe state synchronization, vector clock resolution, and high-throughput regex scanners.

🚀 Quickstart

1. Direct Python Usage

from client import AgentMeshStateBlackboardDeconflictionEngine

client = AgentMeshStateBlackboardDeconflictionEngine()
result = client.propose_state_mutation()
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-mesh-state-blackboard-deconfliction-skill": {
      "command": "python",
      "args": ["/absolute/path/to/genpark-agent-mesh-state-blackboard-deconfliction-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.