
AIBIMTool
io.github.MeltFlexDevs由 GitHub 帳號 MeltFlexDevs 發布v0.1.2更新於 Nov 7, 2026
Design buildings as IFC4 BIM models from a brief: an AI architect that plans, builds and edits.
概覽
一個 AI 建築師,能把建築需求說明變成可編輯的 IFC4 BIM 模型,並提供 3D 檢視、平面圖與 IFC 下載。
- 可以做什麼
- 啟動並推進建築設計:依需求說明建立專案、回答代理提出的問題、核准其計畫、送出修改意見,以及繼續或停止執行。
- 追蹤進行中的工作:查看專案狀態與代理的回覆、問題或計畫,並列出帳號下的專案。
- 檢查成果:取得 3D 檢視,或某一樓層標註房間名稱與尺寸的平面圖。
- 匯出模型:下載 IFC4 檔案,本機伺服器會寫入磁碟,託管伺服器則回傳連結。
- 在繼續花費前查看方案與剩餘額度。
- 適用情境
- 當你希望助理以真實 BIM 模型而非草圖來起草或反覆修改建築設計時使用,例如量體研究、房間配置或樓層平面,之後可在 Revit、ArchiCAD、BlenderBIM 或 Tekla 中開啟。
- 執行需求
- 可使用託管端點,透過 OAuth 以 AIBIMTool 帳號登入;或使用 npx 執行本機 npm 套件,需要 Studio 方案的 AIBIMTOOL_API_KEY(也可用瀏覽器登入流程取得)。需要網路存取以及有額度的 AIBIMTool 帳號。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 AIBIMTool,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.MeltFlexDevs%2Faibimtool/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"aibimtool": {
"type": "http",
"url": "https://aibimtool.com/mcp"
}
}
}README
AIBIMTool Skills
[License: MIT] [Version] [Skills] [npm] [Website]
AI agent skills for designing buildings as real BIM models with AIBIMTool. Describe a building; an AI architect researches the type, asks the few questions only you can answer, plans large work, then models every storey, wall, slab, door, window, room, stair and roof as IFC4, and changes the model when you ask. Works with Claude, ChatGPT, Claude Code, Cursor, Codex, VS Code, Windsurf and anything else that loads Markdown skills or speaks MCP.
Each user signs in with their own AIBIMTool account, and every message is billed to its credits. The skills drive the public AIBIMTool API through the MCP server, so there is nothing to build and no BIM kernel to install.
[Plan of Level 2 of a 7-storey office the agent built: central core, open workplaces, meeting rooms, private offices and focus booths with their areas] [3D view of the same 7-storey office: a rounded glass bar on a glazed plinth, timber fins, sky lounge and roof terrace]
One brief, one IFC4 model of 1,065 elements: the plan of Level 2 with every room measured, and the building itself.
Install
Pick one. Each method sets the skills up for your agent.
npx skills (recommended, cross-agent)
GitHub CLI (v2.90+)
Claude Code marketplace
Inside Claude Code:
The plugin brings the hosted MCP server with it: run /mcp and choose Authenticate once.
MCP server only
If you want the tools without the skills, add the hosted server. It signs you in with your AIBIMTool account and needs no key:
In Claude (claude.ai or Desktop) and ChatGPT, add https://aibimtool.com/mcp as a custom connector. For a local server with an API key: claude mcp add aibimtool -- npx -y aibimtool-mcp. Configuration for Cursor, Codex, VS Code and Windsurf is in INSTALL.md and on the MCP page.
Setup script
Universal fallback:
More options in INSTALL.md. Agent-driven install, to paste into your agent: INSTALL_FOR_AGENTS.md.
Authenticate
The hosted server at https://aibimtool.com/mcp needs no key: your client opens the AIBIMTool sign-in. Like the API and the CLI, it is part of the Studio plan.
The local server and the CLI use an API key, also part of Studio. The simplest way to get one is the browser flow, which mints a key from your session and hands it back over loopback so you never copy or paste a secret:
Or create one by hand at aibimtool.com → Developers → API keys and export it:
The key is shown exactly once at creation. Only its SHA-256 is stored, so nobody can recover it afterwards, including us. An account may hold five live keys and revoking one takes effect on the next request.
Skills
Tools
Metered means a message is charged for the AI it uses: 1 credit per $0.02, at most 150 credits per 8-minute segment. A run that fails on our side is refunded automatically, so an agent that retries does not quietly drain the balance.
A building takes minutes, longer than a chat holds a tool call open, so create_building returns at once and get_project_status waits up to 50 seconds per call while the agent works. The local server writes IFC files and pictures to disk (./aibimtool-output/ unless you pass output_path) and returns the path rather than the bytes: an IFC is megabytes, and the agent usually just hands it to the next step.
What it looks like in practice
You: Design a 7-story office building with a ground-floor lobby, café, and event space. Floors 2 through 4 are typical office floors around a central core with stairs, elevators, and restrooms. Add a rooftop terrace.
That is a real run: the questions, the plan and the 1,065 elements are what the agent produced for that brief. The IFC opens in Revit, ArchiCAD, BlenderBIM, Tekla and Navisworks; the project also opens in the AIBIMTool 3D viewer to keep changing it. More patterns in COOKBOOK.md.
A good brief changes everything
The agent builds what the brief says and researches the rest, stating its assumptions. A brief that names the building type, its size, the number of storeys and the rooms that matter gets a design on the first run; a vague one gets questions first. Pass the user's words, add what they already told you, and never invent requirements to make it look complete. It is the single biggest quality lever in the whole workflow.
The CLI
The same package is a command-line tool when you run it with arguments instead of letting an agent speak MCP to it:
Full reference at aibimtool.com/developers/cli.
Documentation
- API reference: every endpoint, request and response
- CLI: every command and flag
- MCP: client-by-client setup
- COOKBOOK.md: worked examples
- CONTRIBUTING.md
Licence
MIT. See LICENSE.
來源:README.md,提交 2f7e9c7
工具
0版本歷史
1- v0.1.2最新Nov 7, 2026
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