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
Creating an invite previously meant writing SQL by hand, which made the
whole feature unusable in practice. The owner can now create invites
with a use count and expiry, copy the link, show a QR code, and revoke.
QR codes are generated locally by node-qrcode as inline SVG. The CSP
forbids loading from any other origin, so an external generator was not
an option, and img-src 'self' already covers a same-origin SVG.
People lists everyone with what they have added and what their AI use
has cost over 30 days, with suspend, reactivate, per-user AI toggle and
delete. Deleting collects image keys and the minted gateway key id
before the cascade removes the rows, then cleans both up best-effort -
storage or the gateway being unavailable must not leave an account
half-deleted. Guards refuse to suspend or delete yourself or the last
owner.
Password reset links close the gap that came with keeping email and
password sign-in: with no email infrastructure, a member who forgets
their password had no way back in and the owner had no way to help. The
owner generates a single-use 24 hour link and delivers it the same way
as an invite. Issuing one invalidates any earlier unused reset, and the
reset endpoint answers identically for unknown, used and expired tokens
so it cannot be used to probe which exist.
The admin area 404s for members rather than 403ing, so its existence is
not advertised, and every /api/admin handler independently requires the
owner role.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Replace the direct Anthropic and OpenAI integrations with a single
provider that talks to Switchboard, an OpenAI-compatible gateway that
routes each request to the best available model. The app no longer pins
a model id anywhere: it sends switchboard/auto and lets the gateway
choose, then logs which model answered and what it cost.
Routing levers are set per feature in src/lib/ai/routing.ts. Three of
those choices came from measuring against the live gateway:
- category and prefer_free are set explicitly on every request. An API
key carries its own routing defaults, and anything left unset inherits
them - drink prompts were being sent to a free coding model.
- Token budgets are generous because the router may pick a reasoning
model, and reasoning tokens come out of the same max_tokens budget as
the answer. At 512 tokens a request returned null content; at 4096 the
same request returned correct JSON.
- No tier lever on text features. tier "cheap" pinned a slow reasoning
model (42-180s, two timeouts and one truncated response in five
trials) and tier "frontier" escalated as far as Opus at $0.02 a call,
while unconstrained routing answered in about a second. Vision keeps
"frontier", where the accuracy is worth a few tenths of a cent.
Gateway failures are mapped to actionable messages rather than passed
through: a 401 relayed as 401 would read as an expired session and
bounce the user to login, and a 429 would collide with the app's own
rate limiter.
Also collapses the key lookup that was duplicated across ten call sites
into getUserProvider(), which fixes a latent bug where a bare findFirst
with no ordering let different features pick different providers.
Existing claude/openai key rows are ignored at runtime and offered for
removal in Settings, so no migration is needed before deploying.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
- Fuzzy ingredient matching for bar inventory against recipes
- AI photo identification API for bottles/labels (drink + bar context)
- Barcode scanner with photo toggle for My Bar
- Barcode scan + photo ID buttons on Add Drink form
- Auto-pull product images from Open Food Facts barcode lookup
- Recipes section on drink detail pages with bar availability
- Dedicated Recipes page in sidebar navigation
- Bar item image support (schema, upload, display)
- Drink detail image upload component
- MinIO image proxy through Next.js rewrites (fixes broken image links)
- Improved category mapping (energy drinks → Mixers, not Spirits)
- Re-process saved recipe ingredients against current bar inventory
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Next.js 14 drink collection tracker with AI-powered search,
menu scanning, ratings, wishlist, sharing, and CSV backup/restore.
Features:
- Auth (credentials + OAuth ready)
- Drink collection with ratings and reviews
- AI search via Claude/OpenAI with search history
- Menu photo scanning with AI extraction
- Wishlist / Try Later system
- Public sharing via slug URLs
- CSV backup and restore (merge/replace modes)
- Docker Compose for Postgres + MinIO + dev server
Security: docker-compose files use env var interpolation
instead of hardcoded secrets.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
