Kamai
io.kamai由 kamai.io 發布官方發布者v1.0.0更新於 Oct 28, 2026
AI takeoff for construction: turn PDF blueprints into structured, traceable quantities.
概覽
Kamai 的遠端 MCP 伺服器讓助理瀏覽建築圖說專案、查看數量估算與構件,並編輯或上傳圖說。
- 可以做什麼
- 瀏覽專案與圖說,查看編號、就緒狀態及每張圖說的內容清單
- 檢視疊上數量估算標註的圖說頁面、構件輪廓、圖例資料夾與可排序的數量表格
- 下載已處理圖說的 PDF,其中偵測到的構件會被標示出來
- 編輯構件(重新命名、改色、歸檔)、建立資料夾、設定開口高度、建立或重新命名專案
- 管理處理工作並上傳圖說 PDF,包括聊天訊息中附帶的 PDF
- 啟用查詢工具後:統計與尋找構件、計算房間淨牆面面積、設定繪圖比例或旋轉、產生連動表格
- 適用情境
- 適用於使用 Kamai 建築數量估算的情境:希望助理直接查詢數量、檢視圖說構件,或做小幅修改與上傳,而不必切換到 Kamai 應用程式。
- 執行需求
- 遠端端點 mcp.kamai.io,需以 OAuth 登入授權。README 另說明本機 stdio 模式,使用 Kamai 個人 API 金鑰(KAMAI_API_KEY),本機建置需 Bun 1.3.3 與 Node.js 22.12 以上版本。查詢工具需設定 KAMAI_QUERY_TOOLS=on。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Kamai,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.kamai%2Fmcp/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": {
"kamai": {
"type": "http",
"url": "https://mcp.kamai.io/mcp"
}
}
}README
kamai-mcp
Kamai's MCP server: tools and MCP Apps widgets for Kamai construction-blueprint projects, blueprints and takeoffs. It runs against Kamai's MCP API and validates access tokens issued by Kamai's OAuth authorization server. It holds no Kamai secrets.
Tools
With KAMAI_QUERY_TOOLS=on (see below):
With KAMAI_HOST_PROBE on (the default on dev and debug, off in prod; see below):
list_blueprints also takes include_inventory (with a project_id): what each
blueprint contains.
list_projects, get_project, get_blueprint, request_blueprint_upload,
finalize_blueprint_upload, and with the query tools get_table_row_elements and
get_element_outlines, and with the probe report_host_probe, are app-only: callable by the widgets, not advertised to the
model.
Run locally with your API key
The quickest way to run this server against your own Kamai data is local mode: the host spawns the server, talks to it over stdio, and the credential is a personal API key from Kamai (API Keys in the Kamai app) instead of OAuth.
Claude Code:
Claude Desktop (claude_desktop_config.json):
The key is used as the bearer for every API call; the tools run as the key's owner.
Add KAMAI_QUERY_TOOLS=on to the environment for the query tools.
Run the HTTP server
The values in .env.example are placeholders: set MCP_PUBLIC_URL and
MCP_AUTH_ISSUER to your tunnel and to a reachable authorization server before
starting, or every request will be refused with invalid_token.
The MCP API and the authorization server are operated by Kamai, so running the
HTTP server end to end needs access to both. An MCP server is only really testable
against a real host, and a host can only reach a public HTTPS URL, so HTTP-mode
development means running behind a tunnel and pointing MCP_PUBLIC_URL at it.
bun run dev builds the widgets first: the server serves the built HTML from
dist/widgets/, not the React source, so rebuild after touching anything under
src/widgets/app/.
The widgets use React, TypeScript, Vite, Tailwind CSS, DaisyUI and Lucide. Vite produces one self-contained HTML resource per widget, so nothing needs hosting.
Local builds require Bun 1.3.3 and Node.js 22.12 or newer.
Layout
Privacy and support
- Privacy policy: https://kamai.io/privacy-policy
- Support: https://kamai.io/support or [email protected]
Contributing
See CONTRIBUTING.md. Security issues go to the address in SECURITY.md, not to the issue tracker.
License
Apache-2.0. Copyright 2026 Kamai Enterprises LTD.
The Kamai name and logo are trademarks of Kamai Enterprises LTD and are not covered by the license.
來源:README.md,提交 b4bacc1
工具
0版本歷史
1- v1.0.0最新Sep 30, 2026
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