# booth-layout-mcp

> booth-layout-mcp — thesneakerhead-booth-layout-mcp. Use this tool when you need to design and optimize a trade-show or vending-event floor plan from plain language inputs. It solves problems such as booth placement, fire-code compliance, and vendor assignment, while preventing overlaps and generating a visual SVG map output. Ideal for event planners and organizers, this tool streamlines the layout process, taking in text-based descriptions and producing a validated, exportable floor plan.

Canonical page: https://skillsregistry.net/skills/thesneakerhead-booth-layout-mcp  
JSON: https://api.skillsregistry.net/v1/skills/thesneakerhead-booth-layout-mcp

## Description

An MCP server that lets an AI assistant design a trade-show or vending-event floor plan from plain language, including placing booths, ensuring fire-code aisles, assigning vendors, validating for overlaps, and exporting an SVG map.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ad6pjf8f25)
- **Repository:** <https://github.com/thesneakerhead/booth-layout-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": "thesneakerhead-booth-layout-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thesneakerhead-booth-layout-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thesneakerhead-booth-layout-mcp/pull`

---
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
