# Photonics Simulation MCP

> Use this tool when you need to streamline photonics simulation engineering tasks, such as designing and optimizing optical devices, by leveraging a knowledge-based server that provides expert rules, debugging guidance, and tool recommendations for popular software like Lumerical and COMSOL. It solves problems related to simulation setup, troubleshooting, and workflow optimization, accepting inputs like simulation parameters and design files, and outputting validated designs and simulation results. Ideal for use in contexts where accurate and efficient photonics simulations are critical, such as optical communications, sensing, and materials research.

Canonical page: https://skillsregistry.net/skills/llldyyy-photonics-simulation-mcp  
JSON: https://api.skillsregistry.net/v1/skills/llldyyy-photonics-simulation-mcp

## Description

Knowledge-based MCP server for photonics simulation engineering, providing rules, bugs, checklists, and tool recommendations for Lumerical FDTD/MODE/FDE, HFSS, COMSOL, and PyAEDT.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x7ujha1pl8)
- **Repository:** <https://github.com/LLLDYYY/Photonics-Simulation-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": "llldyyy-photonics-simulation-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/llldyyy-photonics-simulation-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/llldyyy-photonics-simulation-mcp/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