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 Recursive Operational Synthesis Run recursive operational synthesis on this agent task with cryptographic verification"
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["OpenClawGenParkRecursiveOperationalSynthesis"]
Core --> Model[Mathematical Logic Engine]
Model --> MCPResponse[Deterministic JSON Output / MCP Tool Result]Related MCP server: MidPay MCP Server
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
Trusted execution infrastructure for AI agents. Proposal-only protocol with human consent.
Machine-native capabilities with explicit contracts and machine-readable commerce.
Agent-native MCP for governed commerce, x402 payments, paid capabilities, and verifiable receipts.
Governed AI actions with signed, verifiable receipts: free keyless reads, human-approved writes.
