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MCP server CX Codex

Kamai — Claude Code MCP server: what it does, how to install

Connects Kamai construction blueprints and takeoff tables to your assistant. Inspect rooms and wall areas extracted directly from PDF plans.

Install into Claude Code · Platform CLI: remote server All methods and platforms ↓
claude mcp add --transport http mcp https://mcp.kamai.io/mcp
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What Kamai does

This MCP server links your development client with Kamai construction projects. It lets models inspect blueprints and list detected elements. The assistant can inspect doors and walls through tool calls. Takeoff values return as structured tables.

A local run relies on Bun. It talks to the host over stdio with a personal key. Building the widgets locally requires Bun 1.3.3 and Node.js 22.12 or newer. Without an active key, requests fail immediately.

What it helps with

  • extract material takeoff quantities from a PDF blueprint
  • calculate net wall surface area for paint or plaster
  • filter building elements by folder, tag, and category
  • assign heights and tags to wall openings like doors

Example prompts for the agent

  • Show the takeoff quantities and room elements for the current blueprint
  • Calculate the net wall surface area across all bedrooms
  • Generate a download link for the marked-up blueprint PDF

How to install Kamai

Platform CLI: remote server

claude mcp add --transport http mcp https://mcp.kamai.io/mcp

Step by step, with commands for each platform: How to add an MCP server to Claude Code, Codex, Cursor, VS Code, Gemini CLI and more

Questions about Kamai

How to install Kamai in Claude Code?

Run claude mcp add --transport http kamai https://mcp.kamai.io/mcp in your terminal. It connects Claude Code directly to the remote HTTP service.

What does Kamai MCP server do?

It provides tools to explore architectural blueprints and their calculated takeoff quantities. Models can inspect elements and review room measurements.

What environment is needed to build the server locally?

You need Bun 1.3.3 and Node.js 22.12 or newer installed on your machine. You will also need to export your personal token via KAMAI_API_KEY.

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