MCP Servers For Revit
M

MCP Servers For Revit

mcp-servers-for-revit is an open-source project that connects AI assistants with Autodesk Revit through the Model Context Protocol (MCP), allowing AI clients to read, create, modify, and delete elements in Revit projects.
2.5 points
0

What is mcp-servers-for-revit?

mcp-servers-for-revit is an innovative toolset that allows AI assistants like Claude and Cline to directly interact with Autodesk Revit software. Imagine being able to tell an AI assistant in natural language, 'Add a window on the second floor' or 'Calculate the material usage of all walls,' and the AI can directly perform these operations in Revit. This tool consists of three parts: a server that communicates with the AI, a plugin that runs inside Revit, and functional modules that execute specific operations. They work together to convert your natural language instructions into operations that Revit can understand.

How to use mcp-servers-for-revit?

The usage process is very simple: 1. Install the Revit plugin (simply copy the files to the specified folder). 2. Configure the MCP server in the AI client (e.g., Claude Desktop). 3. Start Revit, and the plugin will be automatically loaded. 4. In the AI chat interface, you can directly operate on the Revit model using natural language. The entire process does not require writing code. The AI will understand your intentions and perform the corresponding Revit operations.

Applicable Scenarios

This tool is particularly suitable for the following scenarios: • Rapid model modification: Quickly adjust the building model through natural language. • Batch operations: Perform the same operation on multiple elements at once. • Data extraction: Quickly obtain model statistical information, material usage, etc. • Automated annotation: Automatically add labels to walls, rooms, etc. • Model analysis: Let the AI help analyze model complexity and provide optimization suggestions. • Teaching demonstration: Show the Revit operation process to students or clients.

Main Features

Element Query and Analysis
Intelligently query various elements in the Revit model, obtain detailed information, calculate model complexity, and compute material usage. The AI can understand your query intentions and return accurate results.
Element Creation and Modification
Create various building elements: walls, doors, windows, beams, columns, floors, roofs, etc. Support multiple creation methods such as point-based, line-based, and surface-based. The AI will select the most appropriate creation method based on your description.
Annotation and Tagging
Automatically add dimension annotations, room labels, wall labels, etc. to model elements. Can handle in batches to improve annotation efficiency.
Data Management
Export room data, store project information in a local database, and query historical data. Facilitate data analysis and report generation.
Visualization Operations
Set colors for elements, hide/show elements, and select specific elements. Help you better understand and display the model.
Structural System Creation
Create a complete structural framework system, including grids, elevations, beam-column systems, etc. The AI can intelligently generate a reasonable structural layout.
Code Execution
Advanced feature: Directly send C# code to Revit for execution, providing greater flexibility for developers.
Advantages
Natural language interaction: No need to learn the complex Revit operation interface. You can operate using natural language.
Improve efficiency: Batch operations and intelligent queries significantly reduce repetitive work.
Reduce learning costs: Non-professional users can quickly perform basic model operations.
Flexible expansion: Support custom code execution to meet advanced requirements.
Seamless integration: Perfectly integrate with mainstream AI assistants such as Claude and Cline.
Cross-version support: Compatible with multiple versions of Revit from 2020 - 2026.
Limitations
Requires a Revit license: Must be used on a computer with Revit installed and licensed.
Network dependency: The MCP server requires a network connection for communication.
Performance limitations: Complex operations may be slower than manual operations, especially for large models.
Function coverage: Although it covers common functions, it may not support all advanced Revit functions.
Learning curve: You need to understand basic architectural terms and concepts to use it effectively.

How to Use

Download and Install the Revit Plugin
Download the ZIP file corresponding to your Revit version (e.g., mcp-servers-for-revit-v1.0.0-Revit2025.zip) from the GitHub Releases page. Extract it and copy it to the Revit plugin folder: %AppData%\Autodesk\Revit\Addins\<Your Revit Version>\
Configure the AI Client
In Claude Desktop, open Settings → Developers → Edit Configuration, and add the MCP server configuration.
Start Revit
Start Autodesk Revit, and the plugin will be automatically loaded. You may see a successful connection prompt.
Start Interacting with the AI
In the Claude chat interface, you can directly describe the operations you want to perform in Revit using natural language.

Usage Examples

Rapid Model Statistics
The project manager needs to quickly understand the complexity and element quantity of the current model to provide data support for project evaluation.
Batch Add Doors and Windows
The architect needs to add standard-sized doors and windows at the same position in multiple rooms.
Material Usage Report
The cost engineer needs to calculate the concrete usage of all walls in the project.
Automatic Room Annotation
To create construction drawings, you need to add labels for room names and areas to all rooms.
Create Structural Grids
The structural engineer needs to create a regular column grid system.

Frequently Asked Questions

Do I need to purchase an additional software license?
Is this tool safe? Will it damage my Revit model?
Which Revit versions are supported?
What should I do if the AI operation fails?
Can I connect to multiple Revit projects simultaneously?
How can I report a problem or request a new feature?
Do I need programming knowledge to use it?
Will it be slow to process large models?

Related Resources

GitHub Repository
Project source code, issue tracking, and latest version downloads.
Release Page
Download compiled plugin versions, categorized by Revit version.
npm Package Page
npm package information for the MCP server.
Original Project Repository
The original version of this project to understand the project's development history.
Model Context Protocol Documentation
Understand the technical details and specifications of the MCP protocol.
Autodesk Revit API Documentation
Official Revit API development documentation.

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "mcp-server-for-revit": {
            "command": "cmd",
            "args": ["/c", "npx", "-y", "mcp-server-for-revit"]
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

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