# OR-Tools

> Use this tool when you need to solve complex constraint satisfaction and optimization problems, such as portfolio selection, knapsack problems, and resource allocation. It integrates Google's OR-Tools with Large Language Models, enabling AI models to submit and solve problems using a standardized JSON-based model specification. The tool is ideal for logistics, operations research, and decision-making applications where efficient modeling and solving of complex constraints is crucial.

Canonical page: https://skillsregistry.net/skills/jacck-ortools  
JSON: https://api.skillsregistry.net/v1/skills/jacck-ortools

## Description

This MCP server implementation, developed by Jacck, integrates Google's OR-Tools constraint programming solver with Large Language Models. It enables AI models to submit, validate, and solve constraint satisfaction and optimization problems using a standardized JSON-based model specification. The server supports integer and boolean variables, linear constraints using OR-Tools method syntax, and linear optimization objectives. It's designed for use with Claude Desktop and can handle a variety of problem types including portfolio selection and knapsack problems. This implementation is particularly useful for AI-assisted decision making in logistics, resource allocation, and operations research, where complex constraints need to be modeled and solved efficiently.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jacck-ortools)
- **Repository:** <https://github.com/jacck/mcp-ortools>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jacck-ortools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jacck-ortools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jacck-ortools/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt