# mdengine

> mdengine — forcefieldsilicon-mdengine. Use this tool when you need to simulate and analyze molecular dynamics, as it runs LAMMPS/ReaxFF jobs and inspects/renderes trajectories, providing a user-friendly interface through a macOS app and CLI, with optional GPU cloud tier for enhanced performance. It solves problems related to molecular modeling and simulation, allowing users to input molecular structures and output visualized trajectories. Ideal for researchers and scientists working with molecular dynamics, particularly those using git for version control.

Canonical page: https://skillsregistry.net/skills/forcefieldsilicon-mdengine  
JSON: https://api.skillsregistry.net/v1/skills/forcefieldsilicon-mdengine

## Description

LAMMPS MCP server for molecular dynamics: an AI agent runs LAMMPS/ReaxFF jobs, inspects and renders trajectories. macOS app + CLI, GPU cloud tier.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/forcefieldsilicon/mdengine)

## 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": "forcefieldsilicon-mdengine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/forcefieldsilicon-mdengine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/forcefieldsilicon-mdengine/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