# openPASO

> openPASO — open-paso-openpaso. Use this tool when you need to run complex finite-element and multiphysics simulations with verified execution and cross-code coupling. openPASO solves problems in multiphysics modeling by providing a unified interface to nine different codes, streamlining simulations and analysis. It accepts AI model inputs and outputs curated knowledge, making it ideal for applications requiring robust and reliable multiphysics simulations.

Canonical page: https://skillsregistry.net/skills/open-paso-openpaso  
JSON: https://api.skillsregistry.net/v1/skills/open-paso-openpaso

## Description

openPASO (formerly OASiS): an MCP server that lets an AI model run nine finite-element and multiphysics codes, with curated knowledge, verified execution and cross-code coupling. Under active development; contributions welcome.

## Trust

- **Trust score (0–1):** 0.34
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/open-PASO/openPASO)

## 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": "open-paso-openpaso"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/open-paso-openpaso` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/open-paso-openpaso/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