# COMSOL MCP Server

> Use this tool when you need to automate COMSOL Multiphysics simulations, leveraging AI agents to streamline complex analysis and modeling tasks. It solves problems related to simulation workflow optimization, reducing manual effort and increasing productivity. The MCP Server takes in simulation parameters and returns automated results, ideal for use cases involving repetitive or high-volume simulations.

Canonical page: https://skillsregistry.net/skills/zhangyoupeng1996-codex-mcp-comsol  
JSON: https://api.skillsregistry.net/v1/skills/zhangyoupeng1996-codex-mcp-comsol

## Description

MCP Server for COMSOL Multiphysics simulation automation via AI agents.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y4rp87lv2u)
- **Repository:** <https://github.com/Zhangyoupeng1996/Codex_MCP_Comsol>

## 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": "zhangyoupeng1996-codex-mcp-comsol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhangyoupeng1996-codex-mcp-comsol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhangyoupeng1996-codex-mcp-comsol/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