OpenStudio MCP Server

OpenStudio MCP Server

Enables AI assistants to interact with OpenStudio building energy models through natural language, allowing users to load, inspect, and manipulate OSM files including building geometry, HVAC systems, materials, schedules, and internal loads.

Category
Visit Server

README

OpenStudio MCP Server

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with OpenStudio building energy models. Load, inspect, and manipulate OpenStudio Model (OSM) files through a comprehensive set of tools accessible via natural language.

Credits and Acknowledgments

This project is heavily based on the EnergyPlus MCP Server developed by LBNL-ETA (Lawrence Berkeley National Laboratory - Energy Technologies Area). The server architecture, tool structure, and implementation patterns have been replicated as closely as possible from their excellent work.

The tools in this server are built using the OpenStudio-Toolkit library, which provides Python interfaces to OpenStudio's building modeling capabilities.

This project was developed with the invaluable assistance of Claude Code powered by Anthropic's Claude Sonnet 4.5.


Features

Available Tools (19+)

šŸ“ File & Model Management

  • load_osm_model - Load OpenStudio Model files with intelligent path resolution
  • save_osm_model - Save modified models
  • convert_to_idf - Export to EnergyPlus IDF format
  • copy_file - Copy files with fuzzy matching and smart discovery
  • get_model_summary - Get comprehensive model statistics
  • get_building_info - Get building object details

šŸ—ļø Building Geometry

  • list_spaces - List all spaces with properties
  • get_space_details - Get detailed information about a specific space
  • list_thermal_zones - List all thermal zones
  • get_thermal_zone_details - Get detailed zone information

🧱 Materials & Constructions

  • list_materials - List all materials with thermal properties

šŸŒ€ HVAC Systems

  • list_air_loops - List all air loop HVAC systems

šŸ’” Internal Loads

  • list_people_loads - List occupancy loads
  • list_lighting_loads - List lighting power densities
  • list_electric_equipment - List equipment loads

šŸ“… Schedules

  • list_schedule_rulesets - List all schedule rulesets

āš™ļø Server Management

  • get_server_info - Get server configuration and status
  • get_current_model_status - Check currently loaded model

Key Capabilities

  • Intelligent File Discovery: Automatically finds files in multiple locations including Claude Desktop uploads
  • Fuzzy Matching: Finds files even with partial names or typos
  • Dual Environment Support: Works seamlessly in both Docker and Claude Desktop
  • Comprehensive API: Covers building geometry, HVAC, loads, materials, and schedules

Installation

Prerequisites

  • Python 3.10+
  • Docker Desktop (for containerized deployment)
  • OpenStudio 3.7.0 (installed in Docker container)
  • Claude Desktop, VS Code, or Cursor (for AI assistant integration)

Quick Start

1. Clone the Repository

git clone https://github.com/roruizf/openstudio-mcp-server.git
cd openstudio-mcp-server

2. Build Docker Image

docker build -t openstudio-mcp-dev -f .devcontainer/Dockerfile .

This builds a container with:

  • Python 3.12
  • OpenStudio 3.7.0
  • All required dependencies
  • OpenStudio-Toolkit library

3. Configure Claude Desktop

Edit your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this configuration:

{
  "mcpServers": {
    "openstudio": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-v",
        "/absolute/path/to/openstudio-mcp-server:/workspace",
        "-w",
        "/workspace",
        "openstudio-mcp-dev",
        "uv",
        "run",
        "python",
        "-m",
        "openstudio_mcp_server.server"
      ]
    }
  }
}

Important: Replace /absolute/path/to/openstudio-mcp-server with your actual path:

  • macOS/Linux: /Users/username/openstudio-mcp-server
  • Windows: C:\openstudio-mcp-server (use forward slashes in JSON)

4. Restart Claude Desktop

Close and reopen Claude Desktop to load the MCP server.

5. Verify Installation

In Claude Desktop, ask:

"What OpenStudio tools are available?"

Claude should list all available tools.


Usage

Basic Workflow

  1. Place your OSM file in the sample_files/models/ directory

  2. Ask Claude to work with it:

    "Load R2F-Office-Hub-006.osm and tell me about the building"
    
  3. Claude will:

    • Load the model using load_osm_model
    • Extract information using get_model_summary, list_spaces, etc.
    • Present the results in natural language

Example Conversations

Analyze a Building

You: "Load the office building model and describe its HVAC systems"

Claude will:
1. Use load_osm_model("office-building.osm")
2. Use list_air_loops()
3. Summarize the HVAC configuration

Export to EnergyPlus

You: "Convert this model to IDF format for simulation"

Claude will:
1. Use convert_to_idf()
2. Report the output file location

Compare Spaces

You: "Which spaces have the highest lighting power density?"

Claude will:
1. Use list_spaces()
2. Use list_lighting_loads()
3. Analyze and rank the results

Working with Uploaded Files

Claude Desktop can handle files you upload directly:

  1. Upload your .osm file in the chat
  2. Ask Claude to analyze it
  3. The server automatically finds and loads it from Claude's upload directory

Project Structure

openstudio-mcp-server/
ā”œā”€ā”€ openstudio_mcp_server/          # Main server package
│   ā”œā”€ā”€ server.py                   # MCP tool definitions
│   ā”œā”€ā”€ openstudio_manager.py       # Business logic layer
│   ā”œā”€ā”€ config.py                   # Configuration management
│   └── utils/
│       ā”œā”€ā”€ path_utils.py           # Intelligent path resolution
│       └── __init__.py
ā”œā”€ā”€ openstudio_toolkit/             # OpenStudio Python library
ā”œā”€ā”€ sample_files/                   # Example models
│   ā”œā”€ā”€ models/                     # OSM files
│   └── weather/                    # EPW weather files
ā”œā”€ā”€ outputs/                        # Generated files (IDF exports, etc.)
ā”œā”€ā”€ logs/                           # Server logs
ā”œā”€ā”€ .devcontainer/
│   └── Dockerfile                  # Docker container definition
ā”œā”€ā”€ pyproject.toml                  # Python dependencies
ā”œā”€ā”€ README.md                       # This file
ā”œā”€ā”€ USER_GUIDE.md                   # User documentation
ā”œā”€ā”€ DEVELOPER_NOTES.md              # Technical documentation
└── FILE_ACCESS_GUIDE.md            # File handling details

Documentation


How It Works

Architecture

User (Claude Desktop)
    ↓
Claude AI (analyzes request, selects tools)
    ↓
MCP Protocol (JSON-RPC over stdin/stdout)
    ↓
FastMCP Server (server.py - tool definitions)
    ↓
OpenStudioManager (openstudio_manager.py - business logic)
    ↓
OpenStudio-Toolkit (Python wrapper functions)
    ↓
OpenStudio SDK (C++ library with Python bindings)

Tool Execution Flow

  1. User asks: "How many spaces are in this building?"
  2. Claude selects tool: list_spaces()
  3. Server executes:
    • Checks if model is loaded
    • Calls OpenStudio-Toolkit function
    • Extracts space data into DataFrame
    • Converts to JSON
  4. Returns to Claude: {"status": "success", "count": 12, "spaces": [...]}
  5. Claude responds: "This building has 12 spaces..."

Development

Adding New Tools

See DEVELOPER_NOTES.md for detailed instructions on:

  • Adding new MCP tools
  • Integrating OpenStudio-Toolkit functions
  • Error handling patterns
  • Testing procedures

Running Tests

# In Docker container
docker run --rm -i \
  -v "$(pwd):/workspace" \
  openstudio-mcp-dev bash -c "
  cd /workspace && uv run python -m pytest tests/
"

Local Development

# Install dependencies
uv pip install -e .

# Run server locally
uv run python -m openstudio_mcp_server.server

Troubleshooting

"Model not loaded" Error

  • Ensure you've loaded a model first with load_osm_model
  • Check that the file is in sample_files/models/

"File not found" Error

  • Verify the file path is correct
  • Check file is in mounted workspace directory
  • Try using just the filename (server will search automatically)

Claude Doesn't Use Tools

  • Verify MCP server is connected (check Claude Desktop status bar)
  • Restart Claude Desktop
  • Check server logs in logs/openstudio_mcp_server.log

Docker Issues

  • Ensure Docker Desktop is running
  • Verify volume mount path is correct and absolute
  • Check Docker image was built successfully

Roadmap

Future enhancements planned:

  • Model Modification: Tools to create and modify spaces, zones, surfaces
  • Advanced HVAC: Detailed HVAC component inspection and editing
  • Simulation: Execute EnergyPlus simulations
  • Results Analysis: Parse and visualize simulation results
  • Parametric Studies: Automated parametric analysis workflows
  • Geometry Tools: Create building geometry from scratch

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

License

MIT License - See LICENSE file for details


Acknowledgments

  • LBNL-ETA for the EnergyPlus MCP Server architecture that served as the foundation for this project
  • OpenStudio-Toolkit for providing the Python interface to OpenStudio
  • NREL for developing and maintaining the OpenStudio SDK
  • Anthropic for Claude and Claude Code (Sonnet 4.5)
  • Model Context Protocol community for the MCP specification

Support


Built with ā¤ļø using Claude Code, Python and OpenStudio

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured