# rhino-gh-spatial-mcp

> rhino-gh-spatial-mcp — emmaruyiyang-rhino-gh-mcp. Use this tool when you need to analyze and evaluate spatial relationships in Rhino/Grasshopper scenes, solving problems like optimizing building performance and geometric metrics. It takes 3D scenes as input, computes metrics like south-facing area and shape factor, and outputs evaluated results. Use it in architectural design and urban planning contexts to inform design decisions with data-driven insights.

Canonical page: https://skillsregistry.net/skills/emmaruyiyang-rhino-gh-mcp  
JSON: https://api.skillsregistry.net/v1/skills/emmaruyiyang-rhino-gh-mcp

## Description

An MCP server for spatial reasoning and performance evaluation in Rhino/Grasshopper. It reads scenes into a spatial graph, computes geometric metrics like south-facing area and shape factor, and runs an evaluate-adjust-recompute loop via existing rhinomcp geometry commands.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sw36670qat)
- **Repository:** <https://github.com/emmaruyiyang/rhino-gh-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": "emmaruyiyang-rhino-gh-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/emmaruyiyang-rhino-gh-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/emmaruyiyang-rhino-gh-mcp/pull`

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