kundeavis-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@kundeavis-mcpplan cheap dinners using this week's offers"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
kundeavis-mcp
An MCP server that makes Norwegian grocery kundeaviser (weekly store flyers) queryable by an AI agent, so it can plan cheap meals from what's actually on offer this week.
Roughly 1,800 offers a week across 16 chains — KIWI, REMA 1000, MENY, Extra, SPAR, Coop Mega/Prix, Bunnpris, Joker, Obs, Matkroken, Nærbutikken, Jacobs, Europris, Gigaboks, Holdbart — normalised to comparable unit prices and tagged with canonical ingredients.
you: plan three cheap dinners for this week
agent: [cheapest_by_category category=meat]
→ sausage 55 kr/kg at Obs, pork chop 69.90 kr/kg at Obs, pork neck 89.90 kr/kg at Coop PrixInstall
Requires Node 22.5+ (it uses the built-in node:sqlite, so there is no native module to
compile).
Not on npm yet — install from the repo. dist/ is built during install:
npm i -g github:donadelicc/kundeavis-mcp{
"mcpServers": {
"kundeavis": { "command": "kundeavis-mcp" }
}
}The first query fetches the current flyers automatically (about 45 HTTP requests, a few
seconds) into ~/.kundeavis-mcp/offers.db. Nothing else to set up.
Each machine keeps its own database and its own archive. Two agents on two machines start with two separate histories — see below if you want them to share one.
Related MCP server: Swissgroceries MCP
Tools
Tool | What it answers |
| "What protein is cheap this week?" Cheapest offer per ingredient, ranked by unit price. The main meal-planning entry point. |
| Free-text plus filters on ingredient, category, chain, unit-price basis, discount. |
| One ingredient priced across every chain, against a baseline from earlier weeks. |
| Cheapest unit price per week per chain, to judge whether a "tilbud" is genuinely good. |
| Grocery stores near a coordinate. Offers are chain-national, so this answers which shop to go to. |
| Coverage per chain: offers, how many have a usable unit price, how many are tagged. |
| Force a refresh. Runs automatically when nothing valid is cached. |
There is no history upstream — capture it or lose it
This is the single most important thing to know before relying on this tool.
Offers vanish at their own run_till, with no grace period. Watched live across a
week rollover: at two minutes past expiry, a KIWI "Uke 30" catalog served 12 of the 79
offers it had served minutes earlier — and all 12 survivors were two-week offers running
to 2 August. Everything scoped to the week itself was already unreachable. /offers
serves only what is valid at request time.
And old catalogs are deleted outright. Verified against real expired IDs recovered
from archived mattilbud.no HTML: a KIWI catalog from May 2024 and three Danish ones from
2020 all return CATALOG_NOT_FOUND, byte-identical to the response for an ID that never
existed. (A just-expired catalog's record lingers a while — it still answered 200, still
claiming offer_count: 85 — but the offers behind it were already gone, which is the only
part that matters.)
There is no archive endpoint and no backfill. offset past the end returns [], and date
or ordering parameters are accepted but silently ignored.
Two traps worth knowing:
offers?catalog_id=<expired>returns HTTP 200 with an empty array, not an error. A backfill attempt looks like it worked and stores nothing.offer_countoverstates what/offerswill ever return — MENY's "Uke 31" claims 151 and serves 70, before and after the flyer activates. It is not a timing artefact and not a pagination bug; the reachable set is simply smaller. Reported as a shortfall.
What the listing gives you is lookahead, not lookback: next week's flyer appears
before it activates, but a week drops off the moment it ends. Once run_till passes there
is nothing to go back for. Miss a week and it is gone permanently. So:
kundeavis-mcp schedule --install # twice daily, macOS launchdlaunchd rather than cron specifically because a job missed while the Mac was asleep runs
on the next wake; cron just skips it, and a skipped Saturday is an unrecoverable week.
Runs pass --if-stale, which decides locally — most fire and exit having made zero
HTTP requests.
What to back up
Three tiers, and only the middle one matters:
| derived cache | don't back up — rebuildable |
| raw API payloads, immutable | this is the asset |
a private git repo | off-machine copy | recommended |
The archive stores the raw payloads, not normalized rows, because the unit-price
parser is still improving — archiving today's output would freeze today's bugs into a
history that can never be re-derived. kundeavis-mcp import replays snapshots through
the current normalizer, so every future parser fix retroactively improves every week
you have ever captured.
Snapshots are ~380 KB gzipped per sync, so a year is roughly 20–40 MB. They are named to the second and never overwritten: the API does not serve a stable set (two syncs 35 minutes apart returned 1,786 and 1,782 offers, four present only in the first), so collapsing them would quietly drop offers. Replay unions snapshots, and conflicts resolve to the best-evidenced copy rather than the last one written.
Back it up somewhere private. Please don't commit offer data to a public repo — it isn't ours to redistribute, which is the whole basis on which this project queries the API client-side.
kundeavis-mcp history # what you have captured
kundeavis-mcp import # rebuild the database from it, no networkUnit prices: read the confidence field
Comparing groceries means comparing unit prices, and flyer data makes that easy to get
wrong. KIWI's "HAMBURGER 79,90 / 4 x 100 g" is 199.75 kr/kg, not 799 — the pack total
is pieces × size × SI factor, and ignoring pieces is wrong by 4×.
Descriptions often repeat the retailer's own printed unit price, so every computed value is cross-checked against it. Each offer carries the outcome:
| Meaning |
| Our value matches the kr/kg or kr/l figure printed in the flyer. |
| Derived from the pack data, but nothing comparable was printed — or the source is internally ambiguous (see |
| We declined to serve a number. |
On a live week: 98.3% of checkable offers verified (865 / 880), and 15 of 1,782 offers
(0.8%) had their unit price withheld. Those are genuine source inconsistencies — Coop's
member-vs-non-member pricing, a flyer quoting drained weight while the API reports gross,
Tjek reporting pieces: 1 for a multipack. A withheld value is deliberate: a confidently
wrong kr/kg is the worst thing a price-comparison tool can do.
Two more rules the tools follow:
Never mix bases.
unit_price_basisiskg,lorpcs. A per-piece price is not comparable to kr/kg — "pr. pk" and "/STK" both mean pieces but one is a pack and the other an item — sopcsoffers are excluded from cheapest-first rankings.Two different discount numbers, never conflated.
discount_pctis the retailer's own claim, from the flyer's pre-price, and isnullfor ~83% of offers.vs_baseline_pctis our inference from stored history. The second is never presented as the first.
"This week" means valid right now, not the current ISO week. Flyers change over on Saturday or Sunday, so those differ by a day or two every week.
Ingredient coverage
The upstream API returns no categories at all (category_ids is empty on every
Norwegian grocery offer), and headings are retail shorthand — GULOST&CHEDDAR,
NAKKEKOTELETT, REKER I LØSVEKT. So data/ingredients.yaml maps them to canonical
ingredients, and it is the most useful thing to contribute to.
Currently ~57% of offers carry an ingredient tag. The untagged remainder is mostly brand-specific compound names and non-food. To help:
kundeavis-mcp headings # ranked worklist of what isn't covered
# add aliases to data/ingredients.yaml
kundeavis-mcp retag # re-tag locally, no network, prints the new coverage
node test/taxonomy-lint.mjs # catches aliases that can never fireMatching is whole-token, not prefix or substring. An alias matches when it equals the
heading or appears in it delimited by spaces, so SVINEKOTELETT matches
SVINEKOTELETT MED BEN but not SVINEKOTELETTER — Norwegian inflection is not
handled for you, and you should enumerate the forms you expect. Æ, Ø and Å survive
normalization; other diacritics are folded, so write ENTRECOTE. Add the ingredient word,
not the brand.
Run the lint before opening a PR. A duplicate alias fails silently — the first ingredient
to claim it wins and the second never fires — which is how RIBBE ended up meaning
spareribs rather than juleribbe, and PINNEKJØTT sat on lamb despite selling at a
multiple of fresh lamb's price per kg.
The taxonomy also carries seasonal vocabulary written ahead of the season (jul, påske,
fårikål, grillsesong). Since expired flyers can't be re-fetched, waiting to observe
RIBBE or PINNEKJØTT would mean poor coverage every December. Those entries are inert
in July and cost nothing to carry; correct them against real headings when the season
arrives.
An optional LLM fallback resolves unknown headings and appends them to data/learned.yaml,
with low-confidence answers diverted to needs_review.yaml. It is off by default —
a routine sync should not spend money unless you asked:
KUNDEAVIS_LLM=1 ANTHROPIC_API_KEY=... kundeavis-mcp syncData source
Offer data comes from the read endpoints of Tjek (formerly ShopGun / eTilbudsavis), the platform Norwegian retailers publish their flyers through and which sites like mattilbud.no are built on. Retailers submit hotspot metadata, so offers arrive already structured — there is no OCR here.
Please read this before depending on it. That API is undocumented, not published open
data. It happens to serve these reads unauthenticated, but it advertises
X-Api-Key/X-Token in its CORS headers, which suggests a permissive default rather than a
public contract. It can change or close at any time.
Accordingly:
This project is not affiliated with, endorsed by, or connected to Tjek, mattilbud.no, or any retailer. All trademarks belong to their owners.
No offer data is redistributed. Every install queries upstream itself and caches locally. What ships in this repo is our own code and taxonomy.
The client is deliberately gentle: concurrency capped at 4, exponential backoff, an identifying User-Agent, and aggressive caching. A full national sync is ~45 requests. Please don't raise those limits.
MIT licensed — covering this project's code and the ingredient taxonomy, not upstream data.
Development
bun install
bun run build # tsc -> dist/
bun run test # taxonomy lint + archive round trip + unit prices
bun run validate:unitprice # correctness gate: computed vs printed, live week
node test/taxonomy-lint.mjs # alias collisions, categories, shape (no network)
KUNDEAVIS_HISTORY=./dev-history node test/archive-roundtrip.mjs # replay + union
node test/mcp-smoke.mjs # end-to-end MCP over stdio
KUNDEAVIS_DB=./dev.db KUNDEAVIS_HISTORY=./dev-history node dist/cli.js sync
KUNDEAVIS_DB=./dev.db node dist/cli.js statstest:archive needs a snapshot to work from, so run a sync first.
bun is fine for dev, but the server itself runs on Node — Bun does not implement
node:sqlite.
Env var | Default |
|
|
|
|
| the packaged |
| unset (LLM fallback off) |
| — required only with |
Known limitations
Offers are chain-national. The API exposes no per-store pricing (
store_idis empty on every offer), so a regional price difference is invisible.find_storesis a separate lookup.Regional catalog duplicates are collapsed, not merged. Chains publish one catalog per region — Holdbart ships 26 with identical labels — and we keep the richest variant per (chain, label, date range). Fetching all of them would triple our request count for near-identical data.
Catalog metadata overstates its own contents. A catalog claiming 80 offers may only expose 73 at any offset. Reported as a shortfall, not treated as an error.
Price history starts when you do, and cannot be backfilled. See above. Baselines only cover weeks this installation captured while they were live.
The baseline is built from other weeks' offers, which are also discounts.
vs_baseline_pcttherefore compares a sale price against other sale prices and will understate how good a deal is. Accumulating more weeks does not remove that bias; only a shelf-price reference would. Read it as "cheap for a tilbud", not "cheap".Long-running seasonal magazines carry no structured offers (Coop Mega's "Sommermat", Joker's "Den gode sommermaten"). The weekly flyers that matter for price hunting all do.
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