AI-Powered Revit Modeling
What is revit mcp revit mcp
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revit-mcp
English | 简体中文
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.
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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.
!claude
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 |
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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