dmitryanchikov/mcp-optimizer

3.2

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MCP Optimizer is a mathematical optimization server that supports PuLP and OR-Tools, designed for cross-platform deployment and integration with LLM clients.

Tools

Functions exposed to the LLM to take actions

Linear Programming

Maximize or minimize linear objective functions with constraints.

Assignment Problems

Optimal resource allocation using the Hungarian algorithm.

Knapsack Problems

Optimal item selection for various knapsack problem variants.

Routing Problems

Solve TSP and VRP with time windows using constraint programming.

Scheduling Problems

Job and shift scheduling with CP-SAT solver.

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources

Author

dmitryanchikov

Claim Ownership

Verify you have write access to the repository

Version

v0.4.1

Repository

https://github.com/dmitryanchikov/mcp-optimizer

Homepage

https://mcp-optimizer.dmitryanch.com

GitHub Stars

License

MIT License

Last publish date

2025-06-14

Last update date

2025-07-16

Server configs

in claude desktop

{
  "mcpServers": {
    "mcp-optimizer": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "ghcr.io/dmitryanchikov/mcp-optimizer:latest",
        "python", "main.py"
      ]
    }
  }
}

via pip in claude desktop

{
  "mcpServers": {
    "mcp-optimizer": {
      "command": "mcp-optimizer"
    }
  }
}

via uvx in claude desktop

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

in cursor

{
  "mcp.servers": {
    "mcp-optimizer": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "ghcr.io/dmitryanchikov/mcp-optimizer:latest",
        "python", "main.py"
      ]
    }
  }
}

via pip in cursor

{
  "mcp.servers": {
    "mcp-optimizer": {
      "command": "mcp-optimizer"
    }
  }
}

via uvx in cursor

{
  "mcp.servers": {
    "mcp-optimizer": {
      "command": "uvx",
      "args": ["mcp-optimizer"]
    }
  }
}