# OCP Viewer MCP Server

> Use this tool when you need to visually analyze and provide feedback on 3D CAD models, capturing screenshots from the OCP CAD Viewer for AI-powered review and inspection. It solves problems of manual review and feedback, enabling automated analysis of CAD models created with CadQuery or Build123d. The tool takes 3D CAD models as input and outputs screenshots for visual analysis, ideal for use cases requiring rapid design review and iteration.

Canonical page: https://skillsregistry.net/skills/dmilad-ocp-viewer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dmilad-ocp-viewer-mcp

## Description

Enables AI assistants to capture screenshots from the OCP CAD Viewer, allowing visual analysis and feedback on 3D CAD models created with CadQuery or Build123d.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x611mqrjq6)
- **Repository:** <https://github.com/dmilad/ocp-viewer-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": "dmilad-ocp-viewer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dmilad-ocp-viewer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dmilad-ocp-viewer-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