MCP ORTools

@Jacck

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Jacck

关于 MCP ORTools

Model Context Protocol (MCP) server implementation using Google OR-Tools for constraint solving

#mcp-ortools#constraint-solving#google-or-tools

MCP ORTools 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ortools": {
      "command": "python",
      "args": [
        "-m",
        "mcp_ortools.server"
      ]
    }
  }
}

MCP ORTools 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP-ORTools?

A Model Context Protocol (MCP) server implementation using Google OR-Tools for constraint solving. Designed for use with Large Language Models through standardized constraint model specification.

How to use MCP-ORTools?

Install the package via pip install git+https://github.com/Jacck/mcp-ortools.git, then configure it as an MCP server in Claude Desktop by adding the server entry to claude_desktop_config.json with command python -m mcp_ortools.server. Models are submitted in JSON format with variables, constraints, and an optional objective.

Key features of MCP-ORTools

Integrates Google OR-Tools CP-SAT solver
JSON-based model specification
Supports integer and boolean variables
Linear constraints using OR-Tools method syntax
Linear optimization objectives and solver parameters

Use cases of MCP-ORTools

Solving knapsack and portfolio selection problems
Optimizing linear objectives with constraints
Enabling AI models to solve constraint satisfaction problems
Modeling binary logic and variable relationships

常见问题

What solver does MCP-ORTools use?

It uses Google OR-Tools CP‑SAT solver for constraint satisfaction and optimization.

How are models specified?

Models are specified in JSON with three sections: `variables` (name and domain), `constraints` (OR‑Tools method syntax), and an optional `objective` (linear expression and maximize/minimize flag).

What status values can the solver return?

The solver returns OPTIMAL, FEASIBLE, INFEASIBLE, or UNKNOWN.

What operations are supported in constraints?

Basic arithmetic (+, -, *) and comparisons via `.__le__()`, `.__ge__()`, `.__eq__()`, `.__ne__()`.

What is the license?

MIT License.

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