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., "@OpenClaw GenPark Latent Intent Orchestrator infer the latent intent behind 'book it' and flag if entropy is too high"
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.
Production-hardened OpenClaw GenPark Agent skill engineered strictly with Python standard library. Provides high-throughput deterministic execution, cryptographic security, and game-theoretic optimization via the Model Context Protocol (MCP).
flowchart TD
Input[Incoming Agent Telemetry / Task Input] --> Core["OpenClawGenParkLatentIntentOrchestrator"]
Core --> Model[Mathematical Logic Engine]
Model --> MCPResponse[Deterministic JSON Output / MCP Tool Result]Related MCP server: swarmmesh
python example_usage.pyRun the native STDIO MCP server:
python mcp_server.pyThis project is licensed under the MIT License - see the LICENSE file for details.
This server cannot be deployed
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