Oraclaw is an open-source, ultra-fast Model Context Protocol (MCP) server and toolkit designed to give AI agents access to deterministic optimization, simulation, forecasting, and risk analysis algorithms. Instead of relying on LLMs to guess numerical or optimal answers, Oraclaw provides agents with calls to proven algorithms for bandits, solvers, forecasters, time series modeling, anomaly detection, and more—returning fast, structured JSON results. It’s crafted for developers building AI agents or agent frameworks who need mathematically sound decisions, fast execution (<25ms), and programmability via APIs or npm packages.
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