IFC Building Information Modeling
This MCP server enables LLM agents to interact with IFC (Industry Foundation Classes) files, the standard format for Building Information Modeling (BIM) data in the construction industry. Built by Jia-Rui Lin from Tsinghua University's Department of Civil Engineering using Python with ifcopenshell and FastMCP, it provides tools for extracting entities by type, retrieving properties and locations, analyzing spatial relationships, finding openings on walls, and exploring space boundaries within building models. The implementation supports HTTP transport for web integration and includes utilities for geometric property extraction and spatial hierarchy traversal, making it valuable for construction professionals analyzing building data, AI assistants providing BIM consulting, and automated workflows requiring programmatic access to architectural and engineering information stored in IFC format.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/smartaec/ifcmcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve IFC Building Information Modeling from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.