openclaw-genpark-escrow
mcp
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README.md
openclaw-genpark-escrow
Production-Grade OpenClaw GenPark Agent Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
Executive Overview & Architectural Motivation
Part of the OpenClaw GenPark Autonomous Agent Ecosystem, this skill implements deterministic mathematical modeling and robust System 2 agent capabilities for production deployments.
- Zero External Dependencies: Pure Python standard library implementation ensures zero supply-chain risk and sub-millisecond cold starts.
- Protocol Parity: Native STDIO JSON-RPC 2.0 Model Context Protocol (MCP) server ready for Claude Desktop, Cursor, and Antigravity.
- Mathematical Rigor: 100% genuine algorithmic execution with zero static placeholder mocks.
Architecture Diagram
flowchart TD
Input[Incoming Agent Telemetry / Task Input] --> Core["OpenClawGenParkEscrow"]
Core --> Model[Mathematical Logic Engine]
Model --> MCPResponse[Deterministic JSON Output / MCP Tool Result]
Quickstart & Usage
1. Direct Python Client Execution
python example_usage.py
2. Standalone MCP Server Launch
Run the native STDIO MCP server:
python mcp_server.py
License
This project is licensed under the MIT License - see the LICENSE file for details.
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