# comsol-mcp

> Use this tool when you need to automate and collaborate on COMSOL Multiphysics models, enabling shared model state and visible automation. It solves problems of isolated modeling and limited collaboration by attaching to a running COMSOL Multiphysics Server. The tool takes a running COMSOL server as input and provides a shared model state as output, ideal for use cases requiring collaborative modeling and automation.

Canonical page: https://skillsregistry.net/skills/ching-chiang-comsol-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ching-chiang-comsol-mcp

## Description

MCP server for visible COMSOL automation that attaches to a running COMSOL Multiphysics Server, enabling shared model state with the Desktop GUI for collaborative modeling.

## 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:** other
- **Updated:** 2026-05-06

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c4cei3zrji)
- **Repository:** <https://github.com/Ching-Chiang/comsol-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": "ching-chiang-comsol-mcp"
    }
  }
}
```

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