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AI takeoff for construction: turn PDF blueprints into structured, traceable quantities.
About
AI takeoff for construction: turn PDF blueprints into structured, traceable quantities.
Remote endpoints: streamable-http: https://mcp.kamai.io/mcp
Security Report
This is a well-structured MCP server for the Kamai construction-blueprint platform with proper OAuth token validation, secure credential handling, and appropriate permission scoping. Authentication is enforced via RFC 9728 Bearer token verification against a trusted issuer. No critical vulnerabilities or malicious patterns were identified. Minor quality observations around error handling and input validation do not materially impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 1 high severity).
4 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub 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
| Tool | What it does |
|---|---|
view_projects | Interactive panel of the user's projects and blueprints |
list_blueprints | Blueprints grouped by project, with their ids and whether they are ready |
view_blueprint | A blueprint page with its take-off shapes drawn on top |
view_takeoff | Measured take-off quantities as a sortable table |
list_elements | Per-element rows (rooms, walls, doors, windows, objects) with outlines |
list_folders | A blueprint's legend folders |
update_elements, move_elements, create_folder | Rename, recolour and refile elements; create a folder |
set_opening_height | Store a user-stated height, or a door/window tag, on wall-surface opening pieces |
create_project, update_project | Create or rename a project |
list_jobs, get_job, cancel_job | Processing jobs of a project |
view_upload | Upload panel for a blueprint PDF |
ingest_blueprint_from_chat | Import a PDF attached to a ChatGPT message (ChatGPT only) |
open_kamai | Open the Kamai app in a panel |
With KAMAI_QUERY_TOOLS=on (see below):
| Tool | What it does |
|---|---|
count_elements | Counts and totals by Kamai category (doors, windows, walls, wet rooms…), grouped, summed in the database |
find_elements | Individual elements with type, folder, tag, handing and measurements |
calculate_wall_surface_area | Net wall (paint or plaster) area of rooms |
render_table | A table panel whose rows highlight their elements on the plan |
set_scale | Set a blueprint's drawing scale |
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, 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.
bun install
bun run build:widgets
KAMAI_API_KEY=... MCP_API_BASE_URL=https://mcp-api.kamai.io bun run local
Claude Code:
claude mcp add --env KAMAI_API_KEY=... --env MCP_API_BASE_URL=https://mcp-api.kamai.io \
--transport stdio kamai -- bun /path/to/kamai-mcp/src/local.ts
Claude Desktop (claude_desktop_config.json):
{ "mcpServers": { "kamai": {
"command": "bun", "args": ["/path/to/kamai-mcp/src/local.ts"],
"env": { "KAMAI_API_KEY": "...", "MCP_API_BASE_URL": "https://mcp-api.kamai.io" } } } }
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
bun install
cp .env.example .env
bun run dev
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.
| Variable | Meaning |
|---|---|
PORT | Listen port, default 8006 |
MCP_PUBLIC_URL | The URL hosts call and ask a token for (the resource in discovery); a tunnel, not localhost |
MCP_AUTH_ISSUER | Issuer of the access tokens, matched byte for byte against the token's iss |
MCP_AUTH_JWKS_URI | Optional. Defaults to {MCP_AUTH_ISSUER}/jwks.json |
MCP_API_BASE_URL | Kamai MCP API base URL, https://mcp-api.kamai.io. Also the audience an access token must carry |
MCP_ACCEPTED_AUDIENCES | Optional comma-separated audiences, for a cutover. Defaults to MCP_API_BASE_URL |
KAMAI_API_KEY | Local mode only: the personal API key the tools run as |
KAMAI_APP_ORIGINS | Optional comma-separated extra origins open_kamai may frame; the first becomes the default |
KAMAI_QUERY_TOOLS | on registers the query tools. https://mcp-api.kamai.io serves them; leave it off against an API that answers /v1/vocabulary with 404 |
KAMAI_MCP_NO_INSTRUCTIONS | 1 leaves the server instructions out, as claude.ai does, to test the tool descriptions on their own |
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
src/index.ts HTTP server, OAuth protected-resource metadata, MCP transport
src/local.ts stdio entrypoint for local mode (personal API key)
src/auth.ts Bearer-token verification (RFC 9728 challenges)
src/server.ts Tool and resource registration
src/api.ts Client for the Kamai MCP API
src/elements.ts list_elements paging, filtering and result budgeting
src/errors.ts The text a failed tool call shows the model
src/query/ Query tools: descriptions, vocabulary, filters, budgets, contract
src/widgets/ Widget resources, CSP metadata and the React widget sources
scripts/ Widget build (escapes & so Open WebUI can embed the
widgets); check-routes and check-vocabulary against a live API
scripts/open-webui/
Open WebUI helpers: an open_kamai Tool, a display-mode
host script, a local bridge demo
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.
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