# AutoCAD Electrical MCP

> AutoCAD Electrical MCP — nihaalgaina-autocad-electrical-mcp. Use this tool when you need to automate and streamline electrical design workflows in AutoCAD Electrical 2027 using natural language inputs. It solves problems related to MCC configuration and design automation, providing a web dashboard interface for easy control and integration with multiple AI backends. Ideal for users seeking to enhance productivity and efficiency in electrical design tasks, it accepts natural language commands and outputs automated design configurations.

Canonical page: https://skillsregistry.net/skills/nihaalgaina-autocad-electrical-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nihaalgaina-autocad-electrical-mcp

## Description

MCP server and web dashboard for controlling AutoCAD Electrical 2027 via natural language, supporting MCC configurator and multiple AI backends like Claude, Ollama, or OpenAI-compatible models.

## Trust

- **Trust score (0–1):** 0.55
- **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/bpnozim9ls)
- **Repository:** <https://github.com/nihaalgaina/AutoCAD-Electrical-Interface-ECM>

## 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": "nihaalgaina-autocad-electrical-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nihaalgaina-autocad-electrical-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nihaalgaina-autocad-electrical-mcp/pull`

---
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