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Exposes the collection over the Model Context Protocol at /api/mcp, with 22 tools covering drinks, ratings, bar inventory, recipes, wishlist and taste preferences, plus search/fetch aliases for ChatGPT's deep-research mode. Authentication is a bearer token, the app's first header-borne credential - every other route derives identity from the NextAuth cookie, which a machine client cannot present. /api/mcp sits under the middleware's /api exclusion so it can answer a JSON 401 with an RFC 9728 WWW-Authenticate challenge instead of an HTML redirect to /login. Tokens are stored as a SHA-256 hash rather than plaintext like Invite.token and PasswordReset.token. Those are single-use and short-lived; this one is long-lived and grants read/write over a whole collection, and the nightly pg_dump keeps 14 days of history. Not encrypt(), which is reversible AES and right only for outbound keys we must replay; not bcrypt, which cannot be indexed and would turn verification into a table scan per request. verifyMcpToken joins User.status on every call, mirroring the jwt callback, so suspending a member kills their MCP access immediately rather than leaving the token as a documented way to outlive suspension. It fails closed on a database error, deliberately unlike the jwt callback, which keeps the session because a throw there would sign out every user at once. No tool reaches the Switchboard gateway. Claude and ChatGPT are language models already, so they can reason over a bar inventory without the app paying to do it a second time, and a remote client looping a vision call is not a failure mode worth having. Account deletion, restore, gateway keys, admin routes and shared-list creation are excluded too. The OAuth models ship now but are unused; the token endpoint will write the same McpAccessToken rows, so adding it later touches no verification code. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01W1Ee4Mc1X1SX8HgYa52zu7
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
AI Gateway (Switchboard)
All AI features — menu scanning, label identification, drink search, the bartender
and the recommendation engine — go through Switchboard,
an OpenAI-compatible gateway that routes each request to the best available model.
The app never pins a model id; it always sends switchboard/auto and lets the gateway
choose, then logs which model answered and what it cost.
Setup:
- Set
SWITCHBOARD_BASE_URLin your env file (defaults tohttp://192.168.2.11:8787/v1). - Mint an API key in the Switchboard UI under Settings → API keys.
- Add that key in the app under Settings → AI Gateway.
Per-feature routing (cost/quality levers, token budgets, timeouts) lives in
src/lib/ai/routing.ts. Note that a Switchboard key carries its own routing defaults,
so the app sets category and prefer_free explicitly on every request rather than
inheriting whatever the key was minted for.
Migrating from the old Claude/OpenAI integration
Earlier versions stored a per-user Anthropic or OpenAI key. Those rows are ignored at runtime and the Settings page offers to remove them, so no migration is required. To clear them in bulk instead:
DELETE FROM "UserApiKey" WHERE provider IN ('claude','openai');
DELETE FROM "SearchCache" WHERE provider IN ('claude','openai');
UPDATE "UserPreference" SET "defaultProvider" = NULL;
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.