# aspicio-dxf-viewer

> aspicio-dxf-viewer — frontsail-ai-aspicio. Use this tool when you need to inspect and visualize CAD drawings in DXF format, solving problems such as extracting structured data from technical drawings or generating images for analysis. It takes DXF files as input and returns structured facts, PNG images, or an interactive in-chat viewer with pan, zoom, and layer toggles. Ideal for use cases where AI agents require detailed information about CAD designs, such as architecture, engineering, or manufacturing applications.

Canonical page: https://skillsregistry.net/skills/frontsail-ai-aspicio  
JSON: https://api.skillsregistry.net/v1/skills/frontsail-ai-aspicio

## Description

Opens, inspects, and renders DXF/CAD drawings for AI agents: describe_dxf returns structured facts (layers with actual drawn colors, units, bounds, text content) and render_dxf returns PNG images. On MCP Apps hosts like ChatGPT and Claude, view_dxf opens an interactive in-chat viewer with pan, zoom, and layer toggles.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vtsifo17nw)
- **Repository:** <https://github.com/frontsail-ai/aspicio>

## 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": "frontsail-ai-aspicio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/frontsail-ai-aspicio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/frontsail-ai-aspicio/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