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MCP Servers/revit mcp revit mcp

Other MCP Server · MODEL CONTEXT PROTOCOL

revit mcp revit mcp

AI-Powered Revit Modeling

Open sourceAll MCP Servers

WHAT IT CONNECTS

What revit mcp revit mcp gives an AI Agent

  • 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)
  • nodejs 18+

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

🔴

Warning

Deprecation notice, this repo is being archived in favour of the mono repo approch for the mcp https://github.com/mcp-servers-for-revit/mcp-servers-for-revit Simpler CI, less confusion for noobs, npm package and simpler install

MseeP.ai Security Assessment Badge

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.

Join Discord | QQ Group

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
	ClaudeDesktop --> revit-mcp --> SocketService--commandName-->CommandSet--command-->CommandExecute
	CommandManager --> CommandSet
	CommandExecute --executeResult--> SocketService
	CommandProject1 --> CommandManager
	CommandProject2 --> CommandManager
	CommandProject... --> CommandManager
	subgraph ide1 [MCPClient]
	ClaudeDesktop
	end
	subgraph ide2 [MCPServer]
	revit-mcp
	end
	subgraph ide3 [Revit]
			subgraph ide3.1 [revit-mcp-plugin]
				SocketService
				CommandSet
				CommandManager
				CommandExecute
			end
	end
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Supported Tools

Name Description
get_current_view_info Get current active view info
get_current_view_elements Get elements from the current active view
get_available_family_types Get available family types in current project
get_selected_elements Get currently selected elements
get_material_quantities Calculate material quantities and takeoffs
ai_element_filter Intelligent element querying tool for AI assistants
analyze_model_statistics Analyze model complexity with element counts
create_point_based_element Create point-based elements (door, window, furniture)
create_line_based_element Create line-based elements (wall, beam, pipe)
create_surface_based_element Create surface-based elements (floor, ceiling, roof)
create_grid Create a grid system with smart spacing generation
create_level Create levels at specified elevations
create_room Create and place rooms at specified locations
create_structural_framing_system Create a structural beam framing system
delete_element Delete elements by ID
operate_element Operate on elements (select, setColor, hide, etc.)
color_elements Color elements based on a parameter value
tag_all_walls Tag all walls in the current view
tag_all_rooms Tag all rooms in the current view
export_room_data Export all room data from the project
store_project_data Store project metadata in local database
store_room_data Store room metadata in local database
query_stored_data Query stored project and room data
send_code_to_revit Send C# code to Revit to execute
say_hello Display a greeting dialog in Revit (connection test)
View README on GitHub

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