# ArchiCAD

> Use this tool when you need to integrate AI assistance into architectural CAD workflows, automate building design tasks, or perform parametric modeling operations within ArchiCAD. It provides AI agents with direct access to ArchiCAD's API functionality through the Tapir command system, handling input validation and parameter resolution. This tool is ideal for architects and designers seeking to leverage AI models for architectural modeling, element manipulation, and project management tasks through conversational interfaces.

Canonical page: https://skillsregistry.net/skills/lgradisar-archicad  
JSON: https://api.skillsregistry.net/v1/skills/lgradisar-archicad

## Description

This MCP server implementation by Luka Gradisar provides AI assistants with direct access to ArchiCAD's API functionality through the Tapir command system. Built with Python using FastMCP and the official ArchiCAD Python library, it dynamically registers all available Tapir commands from ArchiCAD's command definitions and schema files, automatically handling input validation and parameter resolution. The implementation parses JavaScript-based command definitions to create properly typed MCP tools, enabling AI models to perform architectural modeling operations, element manipulation, and project management tasks within ArchiCAD. It serves architects and designers who want to integrate AI assistance into their CAD workflows, allowing for automated building design tasks, parametric modeling operations, and project analysis through conversational interfaces.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lgradisar-archicad)
- **Repository:** <https://github.com/lgradisar/archicad-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": "lgradisar-archicad"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lgradisar-archicad` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lgradisar-archicad/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