# ifc-mcp

> Use this tool when you need to analyze and query building information models, as it enables AI agents to load and examine IFC files, extracting data on spatial structures, elements, and properties. It solves problems related to building data analysis, such as extracting material quantities or spatial relationships. The tool takes IFC files as input and outputs queried data, making it ideal for use cases like construction planning, facility management, or architectural analysis.

Canonical page: https://skillsregistry.net/skills/wolfztech-ifc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wolfztech-ifc-mcp

## Description

Enables AI agents to load, query, and analyze IFC building model files, including spatial structures, elements, properties, materials, and geometry.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/txqi35lnbm)
- **Repository:** <https://github.com/WolfzTech/Ifc-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": "wolfztech-ifc-mcp"
    }
  }
}
```

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