Server data from the Official MCP Registry
Cached US grocery prices, age disclosed on every row - search, compare across banners, coverage.
About
Cached US grocery prices, age disclosed on every row - search, compare across banners, coverage.
Remote endpoints: streamable-http: https://api.splitbasket.shop/v1/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue 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 Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-voicearc-splitbasket-prices": {
"url": "https://api.splitbasket.shop/v1/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
SplitBasket Grocery Prices — MCP server & data API
Cached US grocery prices for developers and agents, from the price panel behind
SplitBasket. Every price carries its observation
date; the API tells you what it can answer at a location before you ask, and
returns found: false rather than a plausible wrong number.
- API docs & quickstart: https://splitbasket.shop/developers
- Terms: https://splitbasket.shop/api-terms
- Get a key (free, closed beta): email team@splitbasket.shop — one line about what you're building; keys are issued by a human, usually within a day.
Connect over MCP
Endpoint: https://api.splitbasket.shop/v1/mcp (Streamable HTTP, bearer auth)
Claude Code:
claude mcp add --transport http splitbasket \
https://api.splitbasket.shop/v1/mcp \
--header "Authorization: Bearer sk_live_..."
Any MCP client that speaks Streamable HTTP works the same way — point it at the
endpoint with the Authorization header.
Or plain HTTP
curl "https://api.splitbasket.shop/v1/compare_price?q=whole+milk&zip=94110" \
-H "Authorization: Bearer sk_live_..."
Tools
| tool | what it does |
|---|---|
search_products | Find products near a location, with the price each nearby store last showed |
get_price | The cached price of one exact product (banner + product_id) at one place |
compare_price | Best match at each banner for one query, ranked on canonical unit price |
coverage | What the API can actually answer at a location — call this first in an unfamiliar area |
live_check | Fetch from the retailer right now (paid tier); returns a job id + measured ETA |
live_check_status | Poll a live_check job |
Coverage, honestly
Two layers (measured weekly — 2026-08-09; coverage is the runtime source of truth):
- National layer — six banners: Walmart, Costco, Whole Foods, Sprouts, Sam's Club, Aldi. 51 states (incl. DC) with at least one priced, 2+ banner comparison in 48, 3+ in 40. These stores are priced weekly against a ~43-item staples basket.
- Deep metros — San Francisco, Fresno, Phoenix, Austin: 7–17 banners with full shopping catalogs.
Prices are cached observations, not live quotes. Exact-match rate by cache age,
measured over 275k observation pairs: 99.6% under a day, 93.8% at a week, 79.9%
at 30 days. Every row carries price_as_of and price_age_days; pass
max_age_days to enforce what your use case tolerates.
What this deliberately is not
- No basket optimizer. To estimate a basket, call
compare_priceper item and sum it yourself. - No state-level answers for banners whose prices don't hold state-wide (target, smartandfinal, bashas, frys, foodsco) — measured, not assumed.
- No blended accuracy score. Price staleness is bimodal: a stale price is either exactly right or meaningfully wrong, so we disclose age instead of averaging it away.
Operated by VoiceArc Inc. Not affiliated with or endorsed by any retailer; retailer names identify where a price was observed.
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