# physbox-mcp

> physbox-mcp — physbox-io-physbox-mcp. Use this tool when you need to integrate Large Language Models (LLMs) or MCP clients with simulation web applications like Flux, Volt, and Mesh. It enables programmatic interaction via WebSocket relay, solving issues of compatibility and automation. This tool is ideal for use cases requiring seamless communication between LLMs/MCP clients and simulation platforms, with inputs including simulation requests and outputs comprising results and data exchanges.

Canonical page: https://skillsregistry.net/skills/physbox-io-physbox-mcp  
JSON: https://api.skillsregistry.net/v1/skills/physbox-io-physbox-mcp

## Description

Enables LLMs and MCP clients to interact programmatically with Flux, Volt, and Mesh simulation web applications via WebSocket relay.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zfsqitofqw)
- **Repository:** <https://github.com/physbox-io/physbox-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": "physbox-io-physbox-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/physbox-io-physbox-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/physbox-io-physbox-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