<a href="https://glama.ai/mcp/servers/WeberG619/RevitMCPBridge2026"><img width="380" height="200" src="https://glama.ai/mcp/servers/WeberG619/RevitMCPBridge2026/badge" alt="RevitMCPBridge2026 MCP server" /></a> <h1 align="center">RevitMCPBridge</h1> Give AI full read-write access to Autodesk Revit. 705+ endpoints. Zero manual steps. <a href="#quick-start">Quick Start</a> · <a href="#what-it-enables">What It Enables</a> · <a href="#api-categories">API Reference</a> · <a href="#autonomy-levels">Autonomy Levels</a> <a href="https://github.com/WeberG619/RevitMCPBridge2026/stargazers"><img src="https://img.shields.io/github/stars/WeberG619/RevitMCPBridge2026?style=social" alt="Stars"></a> <img src="https://img.shields.io/badge/endpoints-705%2B-brightgreen" alt="Endpoints"> <img src="https://img.shields.io/badge/C%23-.NET%204.8-blue" alt=".NET"> <img src="https://img.shields.io/badge/Revit-2025%20%7C%202026-orange" alt="Revit"> <img src="https://img.shields.io/badge/knowledge-113%20files-purple" alt="Knowledge"> <img src="https://img.shields.io/github/license/WeberG619/RevitMCPBridge2026" alt="License"> <a href="https://github.com/WeberG619/RevitMCPBridge2026/releases"><img src="https://img.shields.io/github/v/release/WeberG619/RevitMCPBridge2026" alt="Release"></a>

Coming from revit-mcp? That project was archived on Feb 26, 2026. RevitMCPBridge2026 is the actively maintained alternative with 705+ endpoints, named pipe communication (no crashes), and a 113-file architectural knowledge base. See Quick Start to get running in minutes.

What is this?

RevitMCPBridge is a Revit add-in that exposes the entire Revit API through the Model Context Protocol (MCP) via named pipes. AI systems — Claude, GPT, custom agents — can read, create, modify, and validate anything in a Revit model programmatically. No Dynamo. No manual steps. Just send JSON, get results.

For AEC professionals: Your AI assistant can now open your Revit model and actually do things — create walls, place doors, generate sheets, check code compliance, produce construction documents.

For developers: 705+ typed endpoints with parameter validation, transaction management, and structured error responses. Connect any language that can write to a named pipe.

Why Named Pipes Instead of HTTP?

Revit is single-threaded. Every API call must execute on the main UI thread.

| Approach | What Happens Under Load | |---|---| | HTTP server | Competes for the main thread. Multiple concurrent AI requests cause timeouts, dropped connections, and crashes. | | Named pipes | Uses Revit's own ExternalEvent queue. Requests are serialized through the same mechanism Revit uses internally. Zero thread contention, zero crashes. |

Every other Revit MCP implementation uses HTTP. They work for simple demos but break under real workloads. Named pipes are why this bridge can handle 705+ endpoints reliably.

Before and After

Before RevitMCPBridge:

You: "Create a sheet set for these 12 floor plans"
AI:  "Here are the steps you should follow manually in Revit:
      1. Go to View > Sheet Composition > New Sheet
      2. Select your title block...
      3. Repeat 12 times..."

After RevitMCPBridge:

# AI executes directly in Revit
for i, view_id in enumerate(floor_plan_ids):
    call_revit("createSheet", {
        "sheetNumber": f"A1.{i+1}",
        "sheetName": f"Floor Plan - Level {i+1}",
        "titleBlockName": "E1 30x42 Horizontal"
    })
    call_revit("placeViewOnSheet", {
        "sheetId": sheet_id,
        "viewId": view_id,
        "locationX": 1.5,
        "locationY": 1.0
    })
# 12 sheets created, views placed, titled — in seconds

What It Enables

| Capability | Methods | Example | |---|---|---| | Read any model data | Parameters, elements, geometry, schedules | Extract every door schedule to JSON | | Create elements | Walls, doors, windows, rooms, structural, MEP | Build a floor plan from a PDF specification | | Modify elements | Move, resize, reparameter, retype | Batch-update 200 door fire ratings | | Generate documents | Sheets, views, schedules, annotations | Produce a full CD set automatically | | Validate models | Code compliance, clash detection, QC | Check egress paths against IBC requirements | | AI autonomy | Goal execution, learning, self-healing | "Set up this project" → 360 sheets, done |

Scale

705+ MCP endpoints across 25+ categories
146 C# source files, 13,000+ lines
113 knowledge files of architectural domain expertise (building codes, room standards, MEP systems, material specs)
68 unit tests with NUnit
5 levels of autonomy — from direct API calls to autonomous goal execution

API Categories

| Category | Endpoints | What It Does | |---|---|---| | Walls | 11 | Create, modify, split, join, query wall elements | | Doors & Windows | 13 | Place openings, configure hardware, set fire ratings | | Rooms | 10 | Create rooms, compute areas, tag, set finishes | | Views | 12 | Create plans, sections, elevations, 3D views | | Sheets | 11 | Create sheets, place viewports, manage title blocks | | Schedules | 34 | Create/modify schedules, export data, configure fields | | Families | 29 | Load families, place instances, query types | | Parameters | 29 | Get/set any parameter on any element | | Structural | 26 | Beams, columns, foundations, framing | | MEP | 35 | Ducts, pipes, equipment, electrical | | Details | 33 | Detail lines, filled regions, detail components | | Filters | 27 | View filters, graphic overrides, visibility | | Materials | 27 | Material creation, assignment, appearance | | Phases | 24 | Construction phases, phase filters | | Worksets | 27 | Workset management for workshared models | | Annotations | 33 | Dimensions, tags, text notes, keynotes | | Intelligence | 35 | AI autonomy, learning, goal execution, self-healing | | Sheet Patterns | 11 | Intelligent sheet numbering and organization | | Viewport Capture | 7 | View capture, camera control | | Rendering | 7 | AI-assisted rendering via Stable Diffusion | | System | 6 | Health check, version, stats, method listing |

Quick Start

Prerequisites

Autodesk Revit 2025 or 2026
.NET Framework 4.8
Visual Studio 2022 (for building from source)

Install

# Option 1: Installer script
git clone https://github.com/WeberG619/RevitMCPBridge2026.git
cd RevitMCPBridge2026
.\scripts\deploy\Install-RevitMCPBridge.ps1

# Option 2: Manual
msbuild RevitMCPBridge2026.csproj /p:Configuration=Release
copy bin\Release\RevitMCPBridge2026.dll "%APPDATA%\Autodesk\Revit\Addins\2026\"
copy RevitMCPBridge2026.addin "%APPDATA%\Autodesk\Revit\Addins\2026\"
copy appsettings.json "%APPDATA%\Autodesk\Revit\Addins\2026\"

Connect

Start Revit, then from any language:

import struct, json

PIPE_NAME = r'\\.\pipe\RevitMCPBridge2026'

def call_revit(method, params=None):
    """Call any Revit method via named pipe."""
    import win32file, win32pipe
    handle = win32file.CreateFile(
        PIPE_NAME, win32file.GENERIC_READ | win32file.GENERIC_WRITE,
        0, None, win32file.OPEN_EXISTING, 0, None
    )
    request = json.dumps({"method": method, "params": params or {}}).encode()
    win32file.WriteFile(handle, struct.pack('<I', len(request)) + request)
    size = struct.unpack('<I', win32file.ReadFile(handle, 4)[1])[0]
    data = win32file.ReadFile(handle, size)[1]
    handle.Close()
    return json.loads(data)

# Verify connection
print(call_revit("healthCheck"))
# {"status": "healthy", "documentOpen": true, "methodCount": 705}

# List all available methods
print(call_revit("getMethods"))
# {"methods": ["getVersion", "createWall", ...], "count": 705}

Note: The bridge communicates via Windows named pipes (\\.\pipe\RevitMCPBridge2026), not HTTP. This provides direct in-process communication with Revit. For a simpler Python wrapper, see the python/ directory.

Your first wall

# Create a wall
result = call_revit("createWall", {
    "startX": 0, "startY": 0,
    "endX": 20, "endY": 0,
    "wallTypeName": "Generic - 8\"",
    "levelName": "Level 1",
    "height": 10
})
print(result)
# {"success": true, "elementId": 123456, "length": 20.0}

Autonomy Levels

The bridge supports 5 levels of AI autonomy:

| Level | Name | What It Does | |---|---|---| | 1 | Basic Bridge | Direct API translation. Send method, get result. | | 2 | Context Awareness | Tracks element relationships, maintains session context. | | 3 | Learning & Memory | Stores corrections, learns patterns for future use. | | 4 | Proactive Intelligence | Detects workflow gaps, suggests next steps, anticipates needs. | | 5 | Full Autonomy | Executes high-level goals with self-healing and guardrails. |

Level 5 Example

# "Set up construction document sheets" — one command
call_revit("executeGoal", {
    "goalType": "create_sheet_set",
    "parameters": {
        "viewIds": [123456, 234567, 345678],
        "sheetPattern": "A-{level}.{sequence}"
    }
})
# Creates sheets, places views, adds title blocks, numbers everything

# Safety guardrails
call_revit("configureAutonomy", {
    "maxElementsPerTask": 100,
    "allowedMethods": ["createWall", "placeDoor", "createSheet"],
    "blockedMethods": ["deleteElements"],
    "requireApprovalFor": ["deleteSheet"]
})

Knowledge Base

The bridge includes 113 files of architectural domain knowledge:

| Category | Files | Coverage | |---|---|---| | Building Types | 17 | Residential, commercial, healthcare, education, hospitality, industrial | | Building C

RevitMCPBridge2026

Install / Use

README