# ANSYS Workbench MCP

> ANSYS Workbench MCP — yezg9920-kely-ansys-workbench-mcp. Use this tool when you need to automate and control ANSYS Workbench and ANSYS Mechanical workflows, solving problems such as repetitive task execution and complex simulation management. It accepts inputs like Workbench journals and Mechanical Python scripts, and outputs controlled simulation sessions, providing an interface for seamless interaction with ANSYS tools. Ideal for use in contexts where streamlined simulation workflows and automated task execution are crucial.

Canonical page: https://skillsregistry.net/skills/yezg9920-kely-ansys-workbench-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yezg9920-kely-ansys-workbench-mcp

## Description

A clean MCP server and ACT extension for controlling ANSYS Workbench and ANSYS Mechanical from any MCP client, enabling launching Workbench journals, executing Mechanical Python scripts, and interacting with a running Mechanical session via file queue or socket timer bridge.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qiylo5x43f)
- **Repository:** <https://github.com/yezg9920-kely/ansys-workbench-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": "yezg9920-kely-ansys-workbench-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yezg9920-kely-ansys-workbench-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yezg9920-kely-ansys-workbench-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