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OptimEngine - Operations Intelligence Solver

Under maintenance

Try for free

Operations Intelligence Solver — 4 levels. L1: Scheduling, Routing, Packing. L2: Sensitivity, Robust, Stochastic (CVaR). L2.5: Pareto Frontier. L3: Prescriptive (Forecast+Optimize+Advise). 11 MCP tools. Free beta.

Pricing

Pay per usage

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Automation

Developer tools

You can access the OptimEngine - Operations Intelligence Solver programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=hearty_indentation/optim-engine",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with OptimEngine - Operations Intelligence Solver

Get a ready-to-use configuration for your MCP client with the OptimEngine - Operations Intelligence Solver Actor preconfigured at mcp.apify.com?tools=hearty_indentation/optim-engine .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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