# cst-studio-mcp

> cst-studio-mcp — ismailakdag-cst-studio-mcp. Use this tool when you need to automate and integrate CST Studio Suite simulations into your workflow, allowing AI assistants to drive the simulation process from Windows. It solves problems related to repetitive simulation tasks, such as building geometry and running solvers, by providing a Python-first interface to interact with CST Studio Suite. The tool accepts Python inputs and outputs simulation results, including S-parameters and farfield metrics, making it ideal for streamlining simulation-driven design workflows.

Canonical page: https://skillsregistry.net/skills/ismailakdag-cst-studio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ismailakdag-cst-studio-mcp

## Description

Python-first MCP server for CST Studio Suite (2024–2026) that lets AI assistants drive CST from Windows: open projects, build geometry, set materials and ports, run solvers, read S-parameters and farfield metrics, and generate design reports.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f8n260murl)
- **Repository:** <https://github.com/ismailakdag/cst-studio-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": "ismailakdag-cst-studio-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ismailakdag-cst-studio-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ismailakdag-cst-studio-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