# RETICOLO MCP

> RETICOLO MCP — garbage-enzyme-reticolo-mcp. Use this tool when you need to perform rigorous coupled-wave analysis without manual intervention, enabling computation of RCWA spectra, convergence scans, and field maps. It solves problems related to optical simulation and analysis by providing a server-based solution that integrates with the MATLAB Engine API. The RETICOLO MCP tool accepts input parameters and returns computed spectra, scans, and field maps, ideal for use in automated workflows and batch processing contexts.

Canonical page: https://skillsregistry.net/skills/garbage-enzyme-reticolo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/garbage-enzyme-reticolo-mcp

## Description

MCP server for the RETICOLO V10 rigorous coupled-wave analysis solver, enabling agents to compute RCWA spectra, convergence scans, and field maps via MATLAB Engine API without launching the MATLAB desktop.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qhu3l3ck8g)
- **Repository:** <https://github.com/garbage-enzyme/RETICOLO_mcp>

## 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": "garbage-enzyme-reticolo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/garbage-enzyme-reticolo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/garbage-enzyme-reticolo-mcp/pull`

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