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Deterministic decision-intelligence MCP server for AI agents — 17 tools (bandits/LinUCB, HiGHS LP/MIP, PageRank, Monte Carlo, CMA-ES, conformal). Sub-25ms. Zero LLM cost. 11 free, no key. Listed on the MCP Registry & Glama.

13 stars TypeScriptOthers Updated Aug 25, 2026
ai-agentsalgorithmsapibanditsdecision-intelligencefastifymachine-learningmcpoptimizationtypescriptagent-toolsanthropicclaude-mcpcontextual-banditdeterministic-toolslinear-programmingllm-toolsmodel-context-protocolmonte-carlopagerank

No README could be loaded. View the project on GitHub for full documentation.

Frequently asked questions

What is oraclaw?

oraclaw is Deterministic decision-intelligence MCP server for AI agents — 17 tools (bandits/LinUCB, HiGHS LP/MIP, PageRank, Monte Carlo, CMA-ES, conformal). Sub-25ms. Zero LLM cost. 11 free, no key. Listed on the MCP Registry & Glama.

How do I install oraclaw?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is oraclaw open source?

Yes — it is hosted on GitHub at https://github.com/Whatsonyourmind/oraclaw and has 13 stars.

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