Connects AI assistants to Autodesk Revit for programmatic control of building models, allowing you to find, create, update, and delete architectural elements through TCP socket communication.

Bridges Autodesk Revit with external tools for finding, creating, updating, and deleting model elements including walls, floors, levels, grids, and family instances via TCP socket connection.

342,264 views12Local (stdio)

What it does

  • Find and query building elements by category
  • Create walls, floors, levels, grids, and family instances
  • Update element parameters and properties
  • Delete or move model elements
  • Generate floor plans and sheets
  • Create MEP elements like ducts and pipes

Best for

Architects automating repetitive modeling tasksBIM managers standardizing model creation workflowsDevelopers building custom Revit integrations
Works with Revit 2019-2024Requires xml.Revit plugin installed30+ specialized BIM tools

About Revit

Revit is a community-built MCP server published by zedmoster that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect Revit with external tools for efficient creation, update, and management of model elements through a TCP socket It is categorized under developer tools.

How to install

You can install Revit in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Revit is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

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.

Alternatives

Related Skills

Browse all skills
ui-design-system

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

18
ai-sdk

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

6
api-documenter

Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.

4
openai-knowledge

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.

4
cli-builder

Guide for building TypeScript CLIs with Bun. Use when creating command-line tools, adding subcommands to existing CLIs, or building developer tooling. Covers argument parsing, subcommand patterns, output formatting, and distribution.

3
ydc-ai-sdk-integration

Integrate Vercel AI SDK applications with You.com tools (web search, AI agent, content extraction). Use when developer mentions AI SDK, Vercel AI SDK, generateText, streamText, or You.com integration with AI SDK.

2