openstudio-mcp-server

roruizf/openstudio-mcp-server

3.3

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A Model Context Protocol (MCP) server for working with OpenStudio building energy modeling.

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 (20+)

📁 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
📊 Visualization & Analysis
  • apply_view_model - Generate interactive HTML visualization (geometry, HVAC, zones, materials)
  • apply_space_type_and_construction_set_wizard - Apply ASHRAE 90.1 building templates
🏗️ 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
🌀 HVAC Systems
  • list_air_loops - List all air loop HVAC systems
💡 Internal Loads
  • list_people_loads - List occupancy loads
  • list_lighting_loads - List lighting power densities
  • list_electric_equipment - List equipment loads
📅 Schedules
  • list_schedule_rulesets - List all schedule rulesets
⚙️ 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

  • Docker Desktop (REQUIRED - recommended installation method)
  • Claude Desktop, VS Code, or Cursor (for AI assistant integration)
  • Windows/Mac/Linux system

Quick Start (Docker - Recommended)

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 .devcontainer

This builds a container with:

  • Python 3.12
  • OpenStudio 3.7.0 (system installation with SDK and Python bindings)
  • All required dependencies
  • OpenStudio-Toolkit library

Verify Build:

docker images | grep openstudio-mcp-dev
3. Configure Claude Desktop

Edit your Claude Desktop configuration file:

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

Add this configuration (Windows example):

{
  "mcpServers": {
    "openstudio": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-v", "C:\\:/mnt/c",
        "-v", "C:\\PATH\\TO\\YOUR\\openstudio-mcp-server:/workspace",
        "-w", "/workspace/openstudio-mcp-server",
        "openstudio-mcp-dev",
        "uv", "run", "openstudio_mcp_server/server.py"
      ]
    }
  }
}

💡 Windows Setup Tip (Best Practice):

We strongly recommend cloning this repository to a short root path like C:\openstudio-mcp-server instead of deep user directories like C:\Users\YourName\Documents\GitHub\openstudio-mcp-server.

Why? Windows has a 260-character path limit that can cause issues with nested project directories and long dependency paths. This recommendation follows EnergyPlus best practices for avoiding path-related build and runtime errors.

Example:

  • Recommended: C:\openstudio-mcp-server
  • ⚠️ Avoid: C:\Users\YourName\Documents\Projects\BuildingEnergy\openstudio-mcp-server

CRITICAL: The configuration requires two volume mounts (see explanations below):

  • -v C:\\:/mnt/c - Grants access to your C: drive for reading/writing model files
  • -v C:\\PATH\\TO\\YOUR\\openstudio-mcp-server:/workspace - Mounts the server source code

Important: Replace C:\\PATH\\TO\\YOUR\\openstudio-mcp-server with your actual repository path.

📁 Outputs Directory:

Generated files (HTML visualizations, IDF exports, reports) are automatically saved to openstudio-mcp-server/outputs/ inside the container, which maps to C:\openstudio-mcp-server\outputs\ on your host machine through the workspace volume mount. The server creates this directory automatically with proper permissions.

📖 For detailed setup instructions, see

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.


File Access (CRITICAL)

Understanding Docker Volume Mounts

The OpenStudio MCP Server runs inside a Docker container, which has its own isolated filesystem. To access files on your host machine (your computer), you must use mounted paths.

The configuration requires two separate volume mounts, each serving a distinct purpose:

1. C: Drive Access Mount: -v C:\:/mnt/c

Purpose: Grants the server Read/Write access to your entire C: drive, enabling it to load models from and save outputs to your host machine.

This means:

  • Files on your C: drive are accessible at /mnt/c/... paths
  • Outputs saved to /mnt/c/... persist on your host machine
  • Without this mount, the container cannot access your files

2. Server Source Code Mount: -v C:\PATH\TO\YOUR\openstudio-mcp-server:/workspace

Purpose: Mounts the server's source code (the cloned repository) into the container at /workspace, enabling the container to execute the Python server.

This means:

  • The server can access its own code, dependencies, and sample files
  • Changes to server code on your host are reflected in the container
  • Replace the placeholder path with where you actually cloned the repository

How to Reference Files

❌ WRONG (Host Paths)
C:\Users\Name\Downloads\model.osm
C:\Users\Name\Documents\output.idf
✅ CORRECT (Container Paths)
/mnt/c/Users/Name/Downloads/model.osm
/mnt/c/Users/Name/Documents/output.idf

Common Path Mappings

Your Folder (Windows)Container Path
C:\Users\<Name>\Downloads\/mnt/c/Users/<Name>/Downloads/
C:\Users\<Name>\Documents\/mnt/c/Users/<Name>/Documents/
C:\Users\<Name>\Desktop\/mnt/c/Users/<Name>/Desktop/
C:\Projects\/mnt/c/Projects/
Project samples/workspace/openstudio-mcp-server/sample_files/

Example Usage

Load a model from Downloads:

User: "Load /mnt/c/Users/JohnDoe/Downloads/Office-Building.osm"

Convert and save to Documents:

User: "Convert the model to IDF and save it to /mnt/c/Users/JohnDoe/Documents/Office-Building.idf"

Why This Matters:

  • ✅ Files at /mnt/c/... paths persist after container stops
  • ❌ Files saved to /tmp/... or /workspace/... (without /mnt/c) are lost

📖 For complete file access documentation, see


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

Documentation

  • - ⭐ Golden Docker configuration for Claude Desktop
  • - Standard testing procedures and troubleshooting
  • - Simple guide for end users (includes smart path handling)
  • - Technical implementation details

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 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

"ModuleNotFoundError: No module named 'openstudio'" Error

This means the OpenStudio Python bindings are not installed. This should not happen with the Docker image, but if you're running locally:

# Install OpenStudio Python package
pip install openstudio==3.7.0

# Verify installation
python -c "import openstudio; print(openstudio.openStudioVersion())"

Note: The Docker image automatically installs this package during build.


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 ❤️ using Claude Code, Python and OpenStudio