developer-tools

Revit

zedmoster

by zedmoster

Connect Revit with external tools for efficient creation, update, and management of model elements through a TCP socket

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.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Works with Revit 2019-2024Requires xml.Revit plugin installed30+ specialized BIM tools

best for

  • / Architects automating repetitive modeling tasks
  • / BIM managers standardizing model creation workflows
  • / Developers building custom Revit integrations

capabilities

  • / 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

what it does

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.

about

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

MIT

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

readme

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.

FAQ

What is the Revit MCP server?
Revit is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Revit?
This profile displays 50 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.550 reviews
  • Henry Ndlovu· Dec 28, 2024

    Useful MCP listing: Revit is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Pratham Ware· Dec 24, 2024

    According to our notes, Revit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Maya Jain· Dec 20, 2024

    Strong directory entry: Revit surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Aanya Kim· Dec 20, 2024

    According to our notes, Revit benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Dhruvi Jain· Dec 12, 2024

    Revit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Aanya Chen· Dec 12, 2024

    We wired Revit into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Jin Agarwal· Nov 19, 2024

    Revit is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Aditi Anderson· Nov 19, 2024

    Revit has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Jin Shah· Nov 11, 2024

    Revit is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Oshnikdeep· Nov 3, 2024

    Useful MCP listing: Revit is the kind of server we cite when onboarding engineers to host + tool permissions.

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