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Revit MCP 允许 AI 客户端通过模型上下文协议（MCP）调用 Autodesk Revit 工具。MCP 服务器将工具调用转发给本地的 Revit 插件，插件执行相应的 Revit API 工作流程。

• 演示视频：Revit MCP - AI驱动BIM工作流程演示
• 知识网站：
• 默认WebSocket端口：8964

这是什么？

用通俗易懂的语言与Revit对话。要求你的AI客户端*“为此视图中的每面墙体尺寸”或“检查幕墙立面”*，Revit会通过222个MCP工具和90个专业BIM SOPs（建筑规范、工程量计量、合规检查）来完成。

适合谁： 使用 Revit 并希望获得 AI 辅助、基于标准的工作流程的 BIM 工程师和架构师。你需要 Windows 版 Revit（2022–2026 版），并且安装插件时会感到熟悉。

快速入门（3步）

1. 安装Revit插件。 构建并部署C#插件——参见手动设置。这部分是实际与Revit通信的部分。

2. 将你的AI客户端指向MCP服务器。 无需克隆——它直接从npm运行：

3. **打开Revit，在功能区启用MCP服务，然后开始询问。

Revit MCP - AI-Powered Revit Control

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Revit MCP lets AI clients call Autodesk Revit tools through the Model Context Protocol (MCP). The MCP server forwards tool calls to a local Revit add-in, and the add-in executes the corresponding Revit API workflow.

• Demo video: Revit MCP - AI-Powered BIM Workflow Demonstration
• Knowledge site:
• Default WebSocket port: 8964

What is this?

Talk to Revit in plain language. Ask your AI client to “dimension every wall on this view” or “check the curtain-wall elevations”, and Revit does it — through 239 MCP tools backed by 90 professional BIM SOPs (building code, quantity take-off, compliance checks).

Who it’s for: BIM engineers and architects who use Revit and want AI-assisted, standards-based workflows. You’ll need Revit (2022–2026) on Windows and to be comfortable installing an add-in.

Quickstart (3 steps)

1. Install the Revit add-in. Build and deploy the C# add-in — see Manual Setup. This is the half that actually talks to Revit.
2. Point your AI client at the MCP server. No cloning needed — it runs straight from npm:

   { "mcpServers": { "revit-mcp": { "command": "npx", "args": ["-y", "@shuotao/revit-mcp-server"] } } }
   

3. Open Revit, enable the MCP service in the ribbon, and start asking. Full setup: AI Client Configuration.

Questions or want to show what you built? → Discussions

Current Project Counts

When these numbers change, update CLAUDE.md, README.zh-TW.md, this file, docs/DOCUMENT_AUDIENCE_INVENTORY.md, and run:

.\scripts\verify-qaqc.ps1 -SkipBuild -SkipDeploy

New: Interactive Clash Viewer (MCP Apps)

detect_clashes can now render an interactive clash-review UI inline in the conversation, via the MCP Apps extension (io.modelcontextprotocol/ui). This requires an MCP host that supports the extension. It is purely additive:

• Interactive rendering only happens in GUI hosts that support MCP Apps (Claude Desktop, the claude.ai web app, VS Code GitHub Copilot). A terminal CLI like Claude Code can’t render the panel and always shows the text result — this is expected, not a fault.
• Hosts without MCP Apps support keep getting detect_clashes’s normal text result — nothing changes for them.