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qualityEnables AI tools to capture and process screenshots of a user's screen, allowing AI assistants to see and analyze what the user is looking at through a simple MCP interface.
Last updated -
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18
The Revit MCP server enables AI-driven interaction with Autodesk Revit through the MCP protocol, allowing you to:
Retrieve Data: Access information about the current view, selected elements, and available family types with filtering options
Element Management: Create, modify, and delete various elements:
Point-based (doors, windows, furniture)
Line-based (walls, beams, pipes)
Surface-based (floors, ceilings, roofs)
Model Enhancement: Color elements based on parameters, tag walls, and batch process elements for complex modeling tasks
Code Execution: Send and execute custom C# code directly in Revit
Reset Model: Delete process model when executing continuous dialog
revit-mcp
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Description
revit-mcp allows you to interact with Revit using the MCP protocol through MCP-supported clients (such as Claude, Cline, etc.).
This project is the server side (providing Tools to AI), and you need to use revit-mcp-plugin (driving Revit) in conjunction.
Features
Allow AI to get data from the Revit project
Allow AI to drive Revit to create, modify, and delete elements
Send AI-generated code to Revit to execute (may not be successful, successful rate is higher in some simple scenarios with clear requirements)
Requirements
nodejs 18+
Complete installation environment still needs to consider the needs of revit-mcp-plugin, please refer to revit-mcp-plugin
Installation
1. Build local MCP service
Install dependencies
npm install
Build
npm run build
2. Client configuration
Claude client
Claude client -> Settings > Developer > Edit Config > claude_desktop_config.json
{
"mcpServers": {
"revit-mcp": {
"command": "node",
"args": ["<path to the built file>\\build\\index.js"]
}
}
}
Restart the Claude client. When you see the hammer icon, it means the connection to the MCP service is normal.
Framework
flowchart LR
CladueDesktop --> revit-mcp --> SocketService--commandName-->CommandlSet--command-->CommandExecute
CommandManager --> CommandlSet
CommandExecute --executeResult--> SocketService
CommandProject1 --> CommandManager
CommandProject2 --> CommandManager
CommandProject... --> CommandManager
subgraph ide1 [MCPClient]
CladueDesktop
end
subgraph ide2 [MCPServer]
revit-mcp
end
subgraph ide3 [Revit]
subgraph ide3.1 [revit-mcp-plugin]
SocketService
CommandlSet
CommandManager
CommandExecute
end
end
Supported Tools
Name | Description |
get_current_view_info | Get current view info |
get_current_view_elements | Get current view elements |
get_available_family_types | Get available family types in current project |
get_selected_elements | Get selected elements |
create_point_based_element | Create point based element (door, window, furniture) |
create_line_based_element | Create line based element (wall, beam, pipe) |
create_surface_based_element | Create surface based element (floor, ceiling) |
delete_elements | Delete elements |
reset_model | Reset model (delete process model when executing continuous dialog) |
modify_element | Modify element's properties (instance parameters) |
search_modules | Search for available modules |
use_module | Use module |
send_code_to_revit | Send code to Revit to execute |
color_splash | Color elements based on a parameter value |
tag_walls | Tag all walls in view |
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Tools
Allows AI to interact with Autodesk Revit via the MCP protocol, enabling retrieval of project data and automation of tasks like creating, modifying, and deleting elements.
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