mcpField
R
RevitMCPServer

RevitMCPServer

Local
github.com/ZedMosterMedia & Design39Updated 44w ago

About RevitMCPServer

RevitMCPServer connects AI assistants to Autodesk Revit through MCP for users who need to inspect or automate building models. Its tools cover element management as well as creating model components and views.

Key features

  1. 01Discover and execute Revit commands
  2. 02Read views and selected elements
  3. 03Find elements and edit parameters
  4. 04Move, delete, or highlight elements
  5. 05Create building and MEP components
  6. 06Create sheets and link DWG files

Use cases

  1. 01Find and inspect model elements by category
  2. 02Update element parameters or positions
  3. 03Create levels, walls, and doors
  4. 04Generate views, rooms, or sheets

MCP support

As an MCP server, it exposes Revit commands and model-operation tools to MCP clients. AI assistants can use it to discover and control the Revit plugin.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"revit-mcp-zedmoster": {
"command": "uvx",
"args": [
"revit-mcp"
]
}
}
}
Run commanduvx revit-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypirevit-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

xml.Revit.MCP Tools Overview

English | 中文文档

xml.Revit.MCP provides a comprehensive set of tools for integrating with Autodesk Revit through the Model Context Protocol (MCP). This library serves as a bridge between AI assistants and Revit, enabling powerful automation capabilities and programmatic interaction with building models.

xml.Revit.png

Key Features

The tool library includes numerous functions for Revit automation and interaction:

Basic Operations:

  • Get available commands from Revit plugin
  • Execute specified commands in Revit
  • Call specific Revit functions with parameters
  • Retrieve view data and selected elements

Element Management:

  • Find elements by category
  • Get element parameters and locations
  • Update element parameters
  • Delete elements
  • Show/highlight elements in current view
  • Move elements to new positions

Creation Tools:

  • Create levels/floors
  • Create floor plan views
  • Create grid lines
  • Create walls and floors
  • Create rooms and room tags
  • Create doors and windows
  • Create MEP elements (ducts, pipes, cable trays)
  • Create family instances
  • Link DWG files
  • Create sheets

Installation Requirements

  • xml.Revit: Version 1.3.4.3 or newer
  • Python: 3.10 or newer
  • UV Package Manager: Required for installation
  • Revit: Compatible with versions 2019-2024 (with plugin)

Installation Process

  1. First, install the UV package manager:

    pip install uv
    
  2. Install the revit-mcp package:

    pip install revit-mcp
    
  3. Test the installation:

    uvx revit-mcp
    

    You should see: RevitMCPServer - INFO - Successfully connected to Revit on startup

Integration with AI Assistants

Claude for Desktop

Edit claude_desktop_config.json to include:

Cursor

Edit mcp.json to include:

Cline

Edit cline_mcp_setting.json to include:

{
  "mcpServers": {
    "RevitMCPServer": {
      "disabled": false,
      "timeout": 30,
      "command": "uvx",
      "args": ["revit-mcp"],
      "transportType": "stdio",
      "autoApprove": [
        "active_view",
        "call_func",
        "create_cable_trays",
        "create_door_windows",
        "create_ducts",
        "create_family_instances",
        "create_floors",
        "create_floor_plan_views",
        "create_grids",
        "create_levels",
        "create_pipes",
        "create_room_separation_lines",
        "create_room_tags",
        "create_rooms",
        "create_sheets",
        "create_walls",
        "delete_elements",
        "execute_commands",
        "find_elements",
        "get_commands",
        "get_locations",
        "get_selected_elements",
        "get_view_data",
        "link_dwg_and_activate_view",
        "move_elements",
        "parameter_elements",
        "show_elements",
        "update_elements"
      ]
    }
  }
}

Extending Functionality

You can create custom MCP DLL files to implement additional functionality by:

  1. Implementing the xml.Revit.MCP.Public.IMCPMethod interface
  2. Following JSON-RPC 2.0 specification for communication
  3. Compiling to a DLL and placing it in the designated MCP folder

Plugin Configuration

When using the revit-mcp-plugin:

  1. Register the plugin with Revit
  2. Configure commands through: Add-in Modules → Revit MCP Plugin → Settings
  3. Enable the service: Add-in → Revit MCP Plugin → Revit MCP Switch

Once enabled, AI assistants can discover and control your Revit program, executing the various commands provided by the xml.Revit.MCP tools library.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.