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xml.Revit.MCP Tools Overview

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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.

Metadata

Release files for iflow-mcp_revit-mcp 0.5.13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for iflow-mcp_revit-mcp 0.5.13
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Built distribution (wheel)

Table of built distributions (wheels) for iflow-mcp_revit-mcp 0.5.13
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iflow_mcp_revit_mcp-0.5.13-py3-none-any.whl Python 3 none any Details

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