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ifc-lite for MCP

Ifc Lite: An MCP Server for AI-Driven BIM Data Interaction

  • Free
  • 4.5
  • V v6.4.0

Ifc Lite: An MCP Server for AI-Driven BIM Data Interaction

Ifc Lite, developed by Ltplus Ag, is a free Model Context Protocol (MCP) server designed for processing Industry Foundation Classes (IFC) files and supporting BIM Collaboration Format (BCF) workflows. Built with TypeScript and a Rust-based geometry kernel, it enables AI agents to directly query and edit BIM data. Distributed via Docker or as a native binary, Ifc Lite provides a powerful toolkit for developers, analysts, and building professionals needing automated BIM data interaction and quality assurance. Its capabilities extend to natural language querying of construction plans.

What does Ifc Lite connect to?

Ifc Lite functions as an MCP server, primarily connecting to and processing Industry Foundation Classes (IFC) files. It also supports BIM Collaboration Format (BCF) workflows, enabling a connected environment for BIM data. The server component communicates using stdio and HTTP transport protocols. While its own documentation does not list specific AI clients, related "IFC MCP" documentation confirms compatibility with clients such as Claude Desktop, VS Code Copilot, Codex in VS Code, and Claude Code, suggesting integration with common AI development environments.

Core features and tools

Ifc Lite exposes callable tools for AI agents to interact with BIM data. Its command-line interface (CLI) offers a full toolkit including inspect, query, validate, export, create, diff, clash-check, merge, convert, and script IFC models. The program also features an ifc-lite ask command, which provides a natural language interface to these capabilities, allowing users to interact with BIM models using conversational prompts.

Who is it for?

Ifc Lite targets a diverse audience, including developers building automated BIM workflows, analysts working with BIM data, and architects or other building professionals who require specific information from construction plans. It is also designed for AI assistants to automate tasks involving BIM data. This tool supports querying data, validating models, and generating reports. Skip this if your workflow requires a traditional server-side authentication model.

How to get started

No credentials are required. The server communicates over standard input/output.

Use cases

  • Querying BIM data using natural language, such as asking "how many walls?".
  • Automated review and quality assurance of BIM models, including finding missing data or validating against Information Delivery Specification (IDS) rules.
  • Generating reports and schedules from IFC models, such as room schedules or element lists.

Ifc Lite offers a powerful, free platform for interacting with BIM data through an MCP server, supporting both traditional CLI operations and natural language queries for AI agents. Its foundation in TypeScript and Rust provides a strong base for processing IFC files and BCF workflows. The tool is well-suited for automating BIM data analysis and quality assurance tasks for various professionals.

  • Pros

    • Supports AI agent interaction with BIM data.
    • Offers a full toolkit for IFC model operations.
    • Provides a natural language interface for queries.
    • Free to use with flexible distribution options.
  • Cons

    • Operates locally, limiting remote access scenarios.
    • AI assistant access is restricted to local files.
    • Lacks a documented traditional authentication model.
    • Requires local setup for native binary or Docker.
Icon of program: ifc-lite

ifc-lite for MCP

  • Free
  • 4.5
  • V v6.4.0
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