mcp-servers-for-revit

Connect AI assistants to Autodesk Revit via the Model Context Protocol.

mcp-servers-for-revit enables AI clients like Claude, Cline, and other MCP-compatible tools to read, create, modify, and delete elements in Revit projects. It consists of three components: a TypeScript MCP server that exposes tools to AI, a C# Revit add-in that bridges commands into Revit, and a command set that implements the actual Revit API operations.

[!NOTE] This is a fork of the original revit-mcp project with additional tools and functionality improvements.

Architecture

flowchart LR
    Client["MCP Client<br/>(Claude, Cline, etc.)"]
    Server["MCP Server<br/><code>server/</code>"]
    Plugin["Revit Plugin<br/><code>plugin/</code>"]
    CommandSet["Command Set<br/><code>commandset/</code>"]
    Revit["Revit API"]

    Client <-->|stdio| Server
    Server <-->|WebSocket| Plugin
    Plugin -->|loads| CommandSet
    CommandSet -->|executes| Revit

The MCP Server (TypeScript) translates tool calls from AI clients into WebSocket messages. The Revit Plugin (C#) runs inside Revit, listens for those messages, and dispatches them to the Command Set (C#), which executes the actual Revit API operations and returns results back up the chain.

Requirements

• Node.js 18+ (for the MCP server)
• Autodesk Revit 2020 - 2026 (any supported version)

Quick Start (Using a Release)

1. Download the ZIP for your Revit version from the Releases page (e.g., mcp-servers-for-revit-v1.0.0-Revit2025.zip)

2. Extract the ZIP and copy the contents to your Revit addins folder:

   %AppData%\Autodesk\Revit\Addins\<your Revit version>\
   

   After copying you should have:

   Addins/2025/
   ├── mcp-servers-for-revit.addin
   └── revit_mcp_plugin/
       ├── RevitMCPPlugin.dll
       ├── ...
       └── Commands/
           └── RevitMCPCommandSet/
               ├── command.json
               └── 2025/
                   ├── RevitMCPCommandSet.dll
                   └── ...
   

3. Configure the MCP server in your AI client (see MCP Server Setup)

4. Start Revit — if prompted about an unknown add-in, click Always Load

5. In Revit, click the Settings button on the mcp-servers-for-revit ribbon tab, enable the commands you want to use, and click Save

MCP Server Setup

The MCP server is published as an npm package and can be run directly with npx.

Claude Code

Run this in a terminal (not inside Claude Code):

claude mcp add mcp-server-for-revit -- cmd /c npx -y mcp-server-for-revit

Claude Desktop

Claude Desktop → Settings → Developer → Edit Config → claude_desktop_config.json:

{
    "mcpServers": {
        "mcp-server-for-revit": {
            "command": "cmd",
            "args": ["/c", "npx", "-y", "mcp-server-for-revit"]
        }
    }
}

Restart Claude Desktop. When you see the hammer icon, the MCP server is connected.

Revit Plugin Setup

If using a release ZIP, the plugin is already included. For manual installation:

1. Build the plugin from plugin/ (see Development)
2. Copy mcp-servers-for-revit.addin to %AppData%\Autodesk\Revit\Addins\<version>\
3. Copy the revit_mcp_plugin/ folder to the same addins directory

Command Set Setup

If using a release ZIP, the command set is pre-installed inside the plugin. For manual installation:

1. Build the command set from commandset/ (see Development)
2. Inside the plugin's installation directory, create Commands/RevitMCPCommandSet/<year>/
3. Copy the built DLLs into that folder
4. Copy command.json (from repo root) into Commands/RevitMCPCommandSet/

Supported Tools

Tool	Description
get_current_view_info	Get current active view info
get_current_view_elements	Get elements from the current active view
get_available_family_types	Get available family types in current project
get_selected_elements	Get currently selected elements
get_material_quantities	Calculate material quantities and takeoffs
ai_element_filter	Intelligent element querying tool for AI assistants
analyze_model_statistics	Analyze model complexity with element counts
create_point_based_element	Create point-based elements (door, window, furniture)
create_line_based_element	Create line-based elements (wall, beam, pipe)
create_surface_based_element	Create surface-based elements (floor, ceiling, roof)
create_grid	Create a grid system with smart spacing generation
create_level	Create levels at specified elevations
create_room	Create and place rooms at specified locations
create_dimensions	Create dimension annotations in the current view
create_structural_framing_system	Create a structural beam framing system
delete_element	Delete elements by ID
operate_element	Operate on elements (select, setColor, hide, etc.)
color_elements	Color elements based on a parameter value
tag_all_walls	Tag all walls in the current view
tag_all_rooms	Tag all rooms in the current view
export_room_data	Export all room data from the project
store_project_data	Store project metadata in local database
store_room_data	Store room metadata in local database
query_stored_data	Query stored project and room data
send_code_to_revit	Send C# code to Revit to execute
say_hello	Display a greeting dialog in Revit (connection test)

Testing

The test project uses Nice3point.TUnit.Revit to run integration tests against a live Revit instance. No separate addin installation is required — the framework injects into the running Revit process automatically.

Prerequisites

• .NET 10 SDK — required by Nice3point.Revit.Sdk 6.1.0. Install via winget install Microsoft.DotNet.SDK.10
• Autodesk Revit 2026 (or 2025) — must be installed and licensed on your machine

Running Tests

1. Open Revit 2026 (or 2025) and wait for it to fully load
2. Run the tests from the command line:

# For Revit 2026
dotnet test -c Debug.R26 -r win-x64 tests/commandset

# For Revit 2025
dotnet test -c Debug.R25 -r win-x64 tests/commandset

Note: The -r win-x64 flag is required on ARM64 machines because the Revit API assemblies are x64-only.

Alternatively, you can use dotnet run:

cd tests/commandset
dotnet run -c Debug.R26

IDE Support

• JetBrains Rider — enable "Testing Platform support" in Settings > Build, Execution, Deployment > Unit Testing > Testing Platform
• Visual Studio — tests should be discoverable through the standard Test Explorer

Test Structure

Directory	Purpose
tests/commandset/AssemblyInfo.cs	Global [assembly: TestExecutor<RevitThreadExecutor>] registration
tests/commandset/Architecture/	Tests for level and room creation commands
tests/commandset/DataExtraction/	Tests for model statistics, room data export, and material quantities
tests/commandset/ColorSplashTests.cs	Tests for color override functionality
tests/commandset/TagRoomsTests.cs	Tests for room tagging functionality

Writing New Tests

Test classes inherit from RevitApiTest and use TUnit's async assertion API:

public class MyTests : RevitApiTest
{
    private static Document _doc;

    [Before(HookType.Class)]
    [HookExecutor<RevitThreadExecutor>]
    public static void Setup()
    {
        _doc = Application.NewProjectDocument(UnitSystem.Imperial);
    }

    [After(HookType.Class)]
    [HookExecutor<RevitThreadExecutor>]
    public static void Cleanup()
    {
        _doc?.Close(false);
    }

    [Test]
    public async Task MyTest_Condition_ExpectedResult()
    {
        var elements = new FilteredElementCollector(_doc)
            .WhereElementIsNotElementType()
            .ToElements();

        await Assert.That(elements.Count).IsGreaterThan(0);
    }
}

Development

MCP Server

cd server
npm install
npm run build

The server compiles TypeScript to server/build/. During development you can run it directly with npx tsx server/src/index.ts.

Revit Plugin + Command Set

Open mcp-servers-for-revit.sln in Visual Studio. The solution contains both the plugin and command set projects. Build configurations target Revit 2020-2026:

• Revit 2020-2024: .NET Framework 4.8 (Release R20 through Release R24)
• Revit 2025-2026: .NET 8 (Release R25, Release R26)

Building the solution automatically assembles the complete deployable layout in plugin/bin/AddIn <year> <config>/ - the command set is copied into the plugin's Commands/ folder as part of the build.

Project Structure

mcp-servers-for-revit/
├── mcp-servers-for-revit.sln    # Combined solution (plugin + commandset + tests)
├── command.json     # Command set manifest
├── server/          # MCP server (TypeScript) - tools exposed to AI clients
├── plugin/          # Revit add-in (C#) - WebSocket bridge inside Revit
├── commandset/      # Command implementations (C#) - Revit API operations
├── tests/           # Integration tests (C#) - TUnit tests against live Revit
├── assets/          # Images for documentation
├── .github/         # CI/CD workflows, contributing guide, code of conduct
├── LICENSE
└── README.md

Releasing

A single v* tag drives the entire release. The release workflow automatically:

• Builds the Revit plugin + command set for Revit 2020-2026
• Creates a GitHub release with mcp-servers-for-revit-vX.Y.Z-Revit<year>.zip assets
• Publishes the MCP server to npm as mcp-server-for-revit

To create a release:

1. Run the bump script (updates server/package.json, server/package-lock.json, and plugin/Properties/AssemblyInfo.cs, then commits and tags):

   ./scripts/release.ps1 -Version X.Y.Z
   

2. Push to trigger the workflow:

   git push origin main --tags
   

[!NOTE] npm publish uses trusted publishing via OIDC — no npm token is required. Provenance attestation is generated automatically.

Acknowledgements

This project is a fork of the work by the mcp-servers-for-revit team. The original repositories:

• revit-mcp - MCP server
• revit-mcp-plugin - Revit plugin
• revit-mcp-commandset - Command set

Thank you to the original authors for creating the foundation that this project builds upon.

License

MIT