# Constrained Optimization MCP Server

> Use this tool when you need to solve complex combinatorial optimization problems with multiple constraints, such as portfolio optimization, scheduling, or resource allocation. It takes in logical and numerical constraints as input and outputs optimized solutions through multiple solvers like Z3, CVXPY, and OR-Tools. Ideal for use cases requiring efficient allocation of resources, scheduling, or portfolio management under various constraints.

Canonical page: https://skillsregistry.net/skills/sharmarajnish-mcp-constrained-optimization  
JSON: https://api.skillsregistry.net/v1/skills/sharmarajnish-mcp-constrained-optimization

## Description

Enables solving complex combinatorial optimization problems with logical and numerical constraints through multiple solvers (Z3, CVXPY, HiGHS, OR-Tools). Specializes in portfolio optimization, scheduling, resource allocation, and constraint satisfaction problems.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tdr3vcw1hf)
- **Repository:** <https://github.com/Sharmarajnish/MCP-Constrained-Optimization>

## 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": "sharmarajnish-mcp-constrained-optimization"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sharmarajnish-mcp-constrained-optimization` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sharmarajnish-mcp-constrained-optimization/pull`

---
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