Oraclaw is an open-source MCP (Model Context Protocol) server that provides 12 high-speed optimization and decision-intelligence tools for AI agents. These tools expose 19 machine learning algorithms covering bandit optimization, contextual decision-making, forecasting, risk analysis, anomaly detection, constraint solving, and pathfinding. Oraclaw is designed for use by developers, AI agent builders, and orchestration systems needing mathematically rigorous, real-time decision tools with sub-25ms latency, zero LLM cost, and structured JSON outputs. It can be used via MCP integration, REST API, or npm SDKs and is independently implemented in over 12 AI orchestration and ML systems.
Visit Oraclaw's official website for product details and getting started.