mlsanityData to 7 Oct 2026

A Modular Reference Architecture for MCP-Servers Enabling Agentic BIM Interaction

arXiv 2601.00809 ↗First posted 21 Dec 2025cs.OH cs.AI cs.MAcited by 1

On the map: LLM agents and tool use → Tool learning and function calling

Abstract (arXiv)

Agentic workflows driven by large language models (LLMs) are increasingly applied to Building Information Modelling (BIM), enabling natural-language retrieval, modification and generation of IFC models. Recent work has begun adopting the emerging Model Context Protocol (MCP) as a uniform tool-calling interface for LLMs, simplifying the agent side of BIM interaction. While MCP standardises how LLMs invoke tools, current BIM-side implementations are still authoring tool-specific and ad hoc, limiting reuse, evaluation, and workflow portability across environments. This paper addresses this gap by introducing a modular reference architecture for MCP servers that enables API-agnostic, isolated and reproducible agentic BIM interactions. From a systematic analysis of recurring capabilities in recent literature, we derive a core set of requirements. These inform a microservice architecture centred on an explicit adapter contract that decouples the MCP interface from specific BIM-APIs. A prototype implementation using IfcOpenShell demonstrates feasibility across common modification and generation tasks. Evaluation across representative scenarios shows that the architecture enables reliable workflows, reduces coupling, and provides a reusable foundation for systematic research.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Tool learning and function calling, one of 16 directions in LLM agents and tool use. Builds on 3 of its 15 references that are in the map. First posted on arXiv 21 Dec 2025.

Builds on

3 of 15 references.

References · 3

  1. 2024Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Frameworkcited by 9
  2. 2024Towards a copilot in BIM authoring tool using a large language model-based agent for intelligent human-machine interactioncited by 6
  3. 2025Text-to-Layout: A Generative Workflow for Drafting Architectural Floor Plans Using LLMscited by 2

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Citing papers per year: 2026: 1.

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  2. 2025MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
  3. 2025MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools
  4. 2025TheMCPCompany: Creating General-purpose Agents with Task-specific Tools
  5. 2026Enhancing Model Context Protocol (MCP) with Context-Aware Server Collaboration
  6. 2025Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models
  7. 2026Separating Intelligence from Execution: A Workflow Engine for the Model Context Protocol
  8. 2025Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Review