revit-mcp-hardened
Provides tools for interacting with Autodesk Revit, enabling AI agents to read model information, list levels and views, place families, modify elements, and manage documents in a Revit project.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@revit-mcp-hardenedList the levels in the current Revit model."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server for Revit - Python
A pyRevit-oriented implementation of the Model Context Protocol (MCP) for Autodesk Revit
Hardened fork. Derived from mcp-server-for-revit-python by Juan D. Rodriguez and Jean-Marc Couffin (MIT) — see NOTICE.md for what is inherited and what was added here. This fork adds token authentication, capability profiles, gating for arbitrary code execution, a strict MCP error contract, the nine tools left pending on the upstream roadmap, and CI.
Read SECURITY.md before connecting this to a real model. Works with any MCP client — Claude Code, Claude Desktop, GitHub Copilot, OpenAI Codex, Cursor. Setup for each is in OFFICE-SETUP.md.
Related MCP server: Devcon MCP Workshop 2026
How?
This minimal implementation leverages the Routes module inside pyRevit to create a bridge between Revit and Large Language Models (LLMs).
It provides a straightforward template to get started quickly, letting you prototype and iterate tools to give LLMs access to your Revit models.
These tools are designed to be expanded for your specific use cases. You're very welcome to fork the repo and make your own contributions.
Note: The pyRevit Routes API is currently in draft form and subject to change. It has no built-in authentication, and it binds every network interface unless you set its host explicitly. This fork adds an optional shared-secret token, capability profiles, and gating for arbitrary code execution on top of it — see SECURITY.md, which you should read before deploying to more than one machine.
Batteries Included
This repo is aimed at:
Beginners to the Revit API
Python specialists who aren't versed in C#
Anyone wanting to prototype and iterate quickly with LLMs and Revit
It contains:
A complete Routes implementation for pyRevit
A minimal MCP server script to connect to any MCP-compatible client
Several test commands to get you started right away
Key Architecture Components
The system runs as two separate servers working together in a chain:
Claude / LLM Client
|
| MCP Protocol (stdio or HTTP)
v
main.py (MCP Server)
|
| HTTP requests (localhost:48884)
v
pyRevit Routes (REST API running inside Revit)
|
| Revit API calls
v
Revit Applicationmain.py is the MCP server. It speaks the MCP protocol so that Claude (or any MCP-compatible client) can call tools. When a tool is called, main.py translates it into an HTTP request and forwards it to Revit.
pyRevit Routes is a lightweight REST API that runs inside the Revit process. It receives those HTTP requests, executes Revit API code (since it has direct access to the running instance), and returns JSON responses.
They never conflict because they serve different roles, speak different protocols, and listen on different ports.
Note: The Launch & Document tools (
launch_revit,list_revit_installations) are the exception — they run entirely on the MCP side, usingsubprocessto start Revit and then polling the pyRevit Routes health endpoint until the bridge is ready.
MCP Server (
main.py):
Built with FastMCP
Handles HTTP communication with Revit Routes API
Registers tools from modular tool system
Provides helper functions for GET/POST/Image requests
pyRevit Extension (
revit-mcp-python.extension/):
Contains the Routes API that runs inside Revit
Modular route registration in
startup.pyIndividual route modules in
revit_mcp/directory
Tool Registration System (
tools/):
Modular tool organization by functionality
Central registration through
tools/__init__.pyEach module registers its own tools with the MCP server
Supported Tools
Current Implementation Status
Tool Name | Status | Category | Description |
| ✅ Implemented | Status & Connectivity | Check if the Revit-MCP API is active and responding |
| ✅ Implemented | Model Information | Get comprehensive information about the current Revit model |
| ✅ Implemented | Model Information | Get all levels with elevation information |
| ✅ Implemented | View & Image | Export a specific Revit view as an image |
| ✅ Implemented | View & Image | Get a list of all exportable views organized by type |
| ✅ Implemented | Family & Placement | Place a family instance at specified location with custom properties |
| ✅ Implemented | Family & Placement | Get a flat list of available family types (with filtering) |
| ✅ Implemented | Family & Placement | Get a list of all family categories in the model |
| ✅ Implemented | View Information | Get detailed information about the currently active view |
| ✅ Implemented | View Information | Get all elements visible in the current view |
| ✅ Implemented | Visualization | Color elements based on parameter values |
| ✅ Implemented | Visualization | Remove color overrides from a category |
| ✅ Implemented | Visualization | List parameters available on a category |
| ✅ Implemented | Code Execution | Execute IronPython code directly in Revit context |
| ✅ Implemented | Launch & Document | Discover all Revit versions installed on the system |
| ✅ Implemented | Launch & Document | Launch Revit, optionally with a file, and poll for readiness |
| ✅ Implemented | Launch & Document | Open a document in running Revit (supports detach and audit) |
| ✅ Implemented | Launch & Document | Close the active document |
| ✅ Implemented | Launch & Document | Save or Save As the active document |
| ✅ Implemented | Launch & Document | Synchronize a workshared document with central |
| ✅ Implemented | Selection Management | Read the elements currently selected in the Revit UI |
| ✅ Implemented | Element Creation | Create line-based elements (walls, beams, pipes) |
| ✅ Implemented | Element Creation | Create surface-based elements (floors, ceilings) |
| ✅ Implemented | Element Management | Delete elements by id, with a dry-run mode |
| ✅ Implemented | Element Management | Set instance parameters on one or more elements |
| ✅ Implemented | Element Management | Delete whole categories, dry-run by default and title-confirmed |
| ✅ Implemented | Annotation | Tag every element of a category in the active view |
| ✅ Implemented | Integration | Discover Revit commands and installed pyRevit extensions |
| ✅ Implemented | Integration | Post a built-in Revit command |
| ✅ Implemented | Security | Report the security posture of both halves of the bridge |
Capability profiles
REVIT_MCP_PROFILE decides which of these tools are registered. A tool that is
not registered is invisible to the client and cannot be called, so this is an
enforced boundary rather than a suggestion.
Profile | Tools | Contents |
| 12 | Inspection only. Nothing here can modify a model. |
| 26 |
|
| 29 |
|
| 30 | + |
execute_revit_code requires both the full profile and the explicit
opt-in flag, on the MCP server and on the Revit side. Neither knob alone
enables it.
Smaller profiles also select tools more reliably — routing accuracy degrades past roughly 18 tools on a single agent.
Units: every coordinate and length in the creation and modification tools is in decimal feet (the Revit API's internal unit), regardless of your project's display units. Divide millimetres by 304.8.
Set these in your MCP client's env block, not in your shell — the stdio
transport passes the server only a minimal default environment. Full setup
instructions are in OFFICE-SETUP.md.


Getting Started
Installing uv:
Refer to ./README_UV.md
Installing the Extension on Revit
Activate pyRevit Routes
In Revit, navigate to the pyRevit tab
Open Settings
Go to
Routes> activateRoutes ServerpyRevit will start listening on porthttp://localhost:48884/
Install from pyRevit:
In Revit, navigate to the pyRevit tab
Open Extensions
Select the MCP Server for Revit Python Extension > Install extension
Select location, default is
%APPDATA%\Roaming\pyRevit\ExtensionsEnable and wait for pyRevit to reload. Restart Revit if necessary.
Manual Installation on a custom directory:
Clone the repo in a custom location:
git clone https://github.com/mcp-servers-for-revit/mcp-server-for-revit-pythonAdd
.extensionto the root folder nameIn Revit, navigate to the pyRevit tab
Open Settings
Under "Custom Extensions", add the path to the
.extensionfolderSave settings and reload pyRevit (you might need to restart Revit entirely)
Testing Your Connection
Once installed, test that the Routes API is working:
Open your web browser and go to:
http://localhost:48884/revit_mcp/status/If successful, you should see a response like:
{"status": "active", "health": "healthy", "revit_available": true, "document_title": "your_revit_filename", "api_name": "revit_mcp"}
The Routes Service will now load automatically whenever you start Revit. To disable it, simply remove the extension path from the pyRevit settings.
Using the MCP Client
Testing with the MCP Inspector
The MCP SDK includes a handy inspector tool for debugging:
mcp dev main.pyThen access http://127.0.0.1:6274 in your browser to test your MCP server interactively.
Transport Modes
The MCP server supports multiple transport modes for different use cases:
Flag | Transport | Endpoints | Use Case |
(none) | stdio | stdin/stdout | Claude Desktop / Claude Code default |
| SSE only |
| Legacy clients |
| HTTP only |
| Modern HTTP clients |
| Both | All above | Maximum compatibility |
Running with combined transport (recommended for HTTP):
uv run --with "mcp[cli]" main.py --combinedThis starts the server on http://127.0.0.1:8000 with both SSE and streamable-HTTP endpoints available.
Testing the endpoints:
# Test streamable-http
curl -X POST http://localhost:8000/mcp
# Test SSE
curl http://localhost:8000/sseConnecting to Claude Desktop
The simplest way to install your MCP server in Claude Desktop:
mcp install main.pyOr for manual installation:
Open Claude Desktop → Settings → Developer → Edit Config
Add this to the
mcpServerssection:
{
"mcpServers": {
"Revit Connector": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"/absolute/path/to/main.py"
]
}
}
}For HTTP transport mode, configure Claude Desktop with:
{
"mcpServers": {
"Revit Connector": {
"url": "http://localhost:8000/mcp"
}
}
}Connecting to Claude Code
claude mcp add -s user "Revit-Connector" -- uv run --with "mcp[cli]" mcp run /absolute/path/to/main.pyCreating Your Own Tools
The modular architecture of this project makes adding functionalities relatively simple. The provided LLM.txt file also gives your language model the necessary context to get started right away.
The process involves three main parts:
Part 1: Create the Route Module in Revit
Create a new Python file within the revit-mcp-python.extension/revit_mcp/ directory (e.g., revit_mcp/your_module.py). This module will contain all the related functions you want to expose.
# In revit-mcp-python.extension/revit_mcp/your_module.py
# -*- coding: UTF-8 -*-
"""
Your Module for Revit MCP
Handles your specific functionality.
"""
from pyrevit import routes, revit, DB
import json
import logging
from . import auth
# Standard logger setup
logger = logging.getLogger(__name__)
def register_your_routes(api):
"""Register all your routes with the API."""
# ---- Example 1: A GET request for reading data ----
@api.route('/your_endpoint/', methods=["GET"])
def get_project_title(doc, request):
"""Gets the project title from the Revit model."""
# Every route must authorize. Take `request` in the signature even on a
# GET - pyRevit binds it by name, and the token travels in the query
# string there because HTTP headers never reach route handlers.
denied = auth.check(request)
if denied:
return denied
try:
value = doc.Title
return routes.make_response(data={"status": "success", "data": value})
except Exception as e:
logger.error("Get project title failed: {}".format(str(e)))
return routes.make_response(
data={
"status": "error",
"error": str(e),
"error_type": type(e).__name__,
# Tell the caller whether retrying could ever help.
"retryable": False,
},
status=500,
)
# ---- Example 2: A POST request for modifying the model ----
@api.route('/modify_model/', methods=["POST"])
def modify_model(doc, request):
"""Handles POST requests for modifying the Revit model."""
# write=True so this route is refused in read-only mode.
denied = auth.check(request, write=True)
if denied:
return denied
try:
data = json.loads(request.data) if isinstance(request.data, str) else request.data
# Use a transaction for all model modifications
t = DB.Transaction(doc, "Modify Model via MCP")
t.Start()
try:
element_id = data.get("element_id")
new_value = data.get("new_value")
element = doc.GetElement(DB.ElementId(int(element_id)))
param = element.LookupParameter("Comments")
param.Set(new_value)
t.Commit()
return routes.make_response(data={"status": "success", "result": "Element modified."})
except Exception as tx_error:
if t.HasStarted() and not t.HasEnded():
t.RollBack()
raise tx_error
except Exception as e:
logger.error("Modify model failed: {}".format(str(e)))
return routes.make_response(
data={
"status": "error",
"error": str(e),
"error_type": type(e).__name__,
"retryable": False,
},
status=500,
)
logger.info("Your custom routes were registered successfully.")A route that omits
auth.checkfails CI:tests/unit/test_ironpython_compat.pycounts route decorators against auth calls. If a route genuinely must answer without a token, give it an explicit# auth-exempt: <reason>comment — that keeps the exemption a reviewable decision instead of an oversight.Remember this file runs on IronPython 2.7. No f-strings, no type annotations; use
.format(). CI enforces that too.
Part 2: Create the MCP Tool Module
Create the corresponding tools for the MCP server in the tools/ directory (e.g., tools/your_tools.py). This module will use the revit_get and revit_post helpers from main.py.
# In tools/your_tools.py
# -*- coding: utf-8 -*-
"""Your tools for the MCP server."""
from mcp.server.fastmcp import Context
from .utils import format_response
def register_your_tools(mcp, revit_get, revit_post, revit_image=None):
"""Register your tools with the MCP server."""
# ---- Tool for the GET request ----
@mcp.tool()
async def get_revit_project_title(ctx: Context) -> str:
"""Return the title of the currently open Revit project.
Use this to confirm which model is open before acting on it - the
title is also what reset_model requires as confirmation.
Does NOT return the file path or whether the model is workshared;
get_revit_model_info covers those.
"""
# No try/except: a bridge failure must raise so MCP reports isError.
response = await revit_get("/your_endpoint/", ctx)
return format_response(response)
# ---- Tool for the POST request ----
@mcp.tool()
async def modify_revit_element_comment(
element_id: int,
new_value: str,
ctx: Context = None
) -> str:
"""Set the 'Comments' parameter on one element.
Get element ids from get_selected_elements or
get_current_view_elements. Returns confirmation of what changed.
Does NOT create elements or edit type parameters.
Args:
element_id: The id of the element to modify.
new_value: The new comment to apply.
"""
payload = {"element_id": element_id, "new_value": new_value}
response = await revit_post("/modify_model/", payload, ctx)
return format_response(response)Two conventions worth copying from the examples above:
Do not wrap the bridge call in
try/except.format_responseand the transport layer raiseToolErroron failure, which is what setsisErroron the MCP result. Catching it and returning the message hands the model a successful result that merely describes a failure.Write the description for a reader who cannot see the code. State what the tool does, when to reach for it, what it returns, and — most usefully — what it does not do. That text is the only signal the model has when choosing between tools.
Then register it in tools/__init__.py under the right profile: read-only
tools in _register_read_tools, anything that can change a model in
_register_write_tools, destructive or administrative tools in
_register_full_tools.
Part 3: Register Your New Modules
1. Register the Route Module
Open revit-mcp-python.extension/startup.py and add your new route registration function.
# In revit-mcp-python.extension/startup.py
# ... (other imports)
# Import the registration function from your new module
from revit_mcp.your_module import register_your_routes
def register_routes():
"""Register all MCP route modules"""
api = routes.API('revit_mcp')
try:
# ... (existing route registrations)
# Register your new routes (this registers all functions inside)
register_your_routes(api)
logger.info("All MCP routes registered successfully")
except Exception as e:
logger.error("Failed to register MCP routes: {}".format(str(e)))
raise2. Register the Tool Module
Open tools/__init__.py and add your new tool registration function.
# In tools/__init__.py
# ... (other tool imports)
# Import the registration function from your new tool module
from .your_tools import register_your_tools
def register_tools(mcp_server, revit_get_func, revit_post_func, revit_image_func):
"""Register all tools with the MCP server"""
# ... (existing tool registrations)
# Register your new tools (this registers all tools inside)
register_your_tools(mcp_server, revit_get_func, revit_post_func, revit_image_func)
return mcp_serverRoadmap
Everything on the original roadmap table above is now implemented. Delivered in this fork:
✅ Authentication and security enhancements — shared-secret token on every route, capability profiles, read-only mode, code-execution gating with an audit log, and a
get_revit_security_statustool. See SECURITY.md.✅ More advanced Revit tools — selection, modification, deletion, line- and surface-based creation, tagging, command invocation, model reset.
✅ Better error handling — failures raise
ToolErrorso MCP reportsisError: true, each carrying a retry verdict; empty results stay successes.✅ CI — ruff and pytest on Python 3.11/3.12/3.13, plus static guards that fail the build if a route ships without an auth check or if Python-3-only syntax reaches the IronPython half.
Still open:
Creating a Client inside Revit
Benchmarking with local models
Openings, sloped floors, and curved geometry in the creation tools (currently straight lines and planar boundaries only — use
execute_revit_codefor the rest)MEP beyond pipes — ducts, cable trays, fittings
Integration test coverage for the newer routes (they need a live Revit)
Contributing
Contributions are welcome! Feel free to submit pull requests or open issues for any bugs or feature requests. Feel free to reach out to me if you have any questions, ideas
Maintenance
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