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io.github.cogswellspacely8-star/simengine

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Publisher-provided description

Monte Carlo decision-intelligence over MCP: simulate, optimize, and decide under uncertainty.

Summary by lookupd

Runs Monte Carlo simulations and optimizations so an agent can evaluate decisions under uncertainty and compare outcome distributions.

Install

Claude Code, pypi package (stdio)

claude mcp add simengine -- uvx simengine-mcp

Codex, pypi package (stdio)

codex mcp add simengine -- uvx simengine-mcp

Cursor, pypi package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "simengine": {
      "command": "uvx",
      "args": [
        "simengine-mcp"
      ]
    }
  }
}

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