Connect Revit with external tools for efficient creation, update, and management of model elements through a TCP socket
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
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Useful MCP listing: Revit is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, Revit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Revit surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Revit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Revit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Revit into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Revit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Revit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Revit is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Useful MCP listing: Revit is the kind of server we cite when onboarding engineers to host + tool permissions.
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Claude Desktop configuration
{
"mcpServers": {
"RevitMCPServer": {
"command": "uvx",
"args": [
"revit-mcp"
]
}
}
}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.
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.
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.
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.

The tool library includes numerous functions for Revit automation and interaction:
Basic Operations:
Element Management:
Creation Tools:
First, install the UV package manager:
pip install uv
Install the revit-mcp package:
pip install revit-mcp
Test the installation:
uvx revit-mcp
You should see: RevitMCPServer - INFO - Successfully connected to Revit on startup
Edit claude_desktop_config.json to include:
Edit mcp.json to include:
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"
]
}
}
}
You can create custom MCP DLL files to implement additional functionality by:
xml.Revit.MCP.Public.IMCPMethod interfaceWhen using the revit-mcp-plugin:
Once enabled, AI assistants can discover and control your Revit program, executing the various commands provided by the xml.Revit.MCP tools library.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
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