# RealityScan MCP

> RealityScan MCP — fkrn75-realityscan-mcp. Use this tool when you need to automate photogrammetry workflows or convert 360° videos for pre-processing, enabling efficient 3D model creation from various data sources. It solves problems related to manual processing of 3D scans and 360° content, providing a streamlined interface for alignment, meshing, texturing, and export. With support for headless or GUI operation, it accepts input formats like equirectangular and YouTube EAC content, producing 3D models and perspective frames as output.

Canonical page: https://skillsregistry.net/skills/fkrn75-realityscan-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fkrn75-realityscan-mcp

## Description

Enables AI agents to control the RealityScan photogrammetry pipeline (align, mesh, texture, export) either headless or through a visible GUI, and includes a 360° video to perspective frames converter for pre-processing equirectangular and YouTube EAC content.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nf7bo4xygc)
- **Repository:** <https://github.com/fkrn75/realityscan-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": "fkrn75-realityscan-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fkrn75-realityscan-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fkrn75-realityscan-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