# cadlens-mcp

> cadlens-mcp — cadlens-co-cadlens-mcp. Use this tool when you need to extract and reason over CAD file data, such as entity, layer, and metadata information from .dwg, .dxf, and .dwf files. It solves problems related to CAD data analysis and integration with Large Language Models (LLMs) by providing a parsed payload via the Cadlens API. The tool accepts CAD files as input and outputs structured data for LLM clients to consume.

Canonical page: https://skillsregistry.net/skills/cadlens-co-cadlens-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cadlens-co-cadlens-mcp

## Description

An MCP server that parses CAD files (.dwg, .dxf, .dwf, etc.) via the Cadlens API, enabling LLM clients to extract and reason over entity, layer, and metadata payloads.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mlbqvu7hhe)
- **Repository:** <https://github.com/cadlens-co/cadlens-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": "cadlens-co-cadlens-mcp"
    }
  }
}
```

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