# Open-FEM-agent

> Use this tool when you need to streamline finite-element simulations across multiple solvers, or when you require a unified interface to set up, run, and verify simulations. The Open-FEM-agent takes in model definitions and simulation parameters, and outputs verified results, supporting use cases such as multiphysics simulations and solver comparisons. It is particularly useful in contexts where multiple solvers need to be integrated, such as research and development, or complex engineering simulations.

Canonical page: https://skillsregistry.net/skills/hereon-institutems-open-fem-agent  
JSON: https://api.skillsregistry.net/v1/skills/hereon-institutems-open-fem-agent

## Description

Open FEM Agent: a Model Context Protocol (MCP) server that lets any LLM coding assistant set up, run, verify, and couple finite-element simulations across seven independently developed solvers (FEniCSx, deal.II, 4C, NGSolve, scikit-fem, Kratos, DUNE-fem).

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [GitHub](https://github.com/Hereon-InstituteMS/Open-FEM-agent)

## 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": "hereon-institutems-open-fem-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hereon-institutems-open-fem-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hereon-institutems-open-fem-agent/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