# hfss-agent-native

> Use this tool when you need to automate and control HFSS antenna modeling and simulation tasks using natural language inputs, enabling efficient result extraction and analysis without requiring PyAEDT. It solves problems related to streamlining antenna design workflows and improves productivity by allowing users to interact with HFSS using simple commands. The tool accepts natural language inputs and outputs simulation results, making it ideal for use cases where ease of use and automation are crucial.

Canonical page: https://skillsregistry.net/skills/k-13robot-hfss-mcp  
JSON: https://api.skillsregistry.net/v1/skills/k-13robot-hfss-mcp

## Description

Enables natural language control of HFSS (v2019-2025) for antenna modeling, simulation, and result extraction via win32com without PyAEDT.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ug0t6fmfh9)
- **Repository:** <https://github.com/K-13ROBOT/HFSS_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": "k-13robot-hfss-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/k-13robot-hfss-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/k-13robot-hfss-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