matchfetch
Server Details
Words in. Barcode out. With how sure.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of misselection or overlapping purpose. Its single capability (phrase/offer line -> barcode with confidence and verification readings) is clearly bounded.
The lone tool uses a clean snake_case verb_noun name (match_product) that accurately reflects its action and resource. No convention mixing is possible with a single tool.
A single tool is defensible for a narrow, single-capability matching service, but it feels thin given the rich behavior described (candidates, ambiguity handling, verification readings). A few companion tools (e.g. bulk match or barcode lookup) would round it out.
The core workflow—input words and country, output a barcode with confidence, candidates, or unknown—is fully covered, including verification metadata. Minor gaps exist: no reverse lookup (barcode -> product), no batch/bulk matching, and no way to feed back corrections.
Available Tools
1 toolmatch_productMatch ProductAInspect
Words in, barcode out, with how sure. Give a shopper's phrase or a merchant's offer line and a country; get back one barcode with a confidence, or the candidates when it is ambiguous (never a guess), or unknown. Every result carries four verification readings (source authority, disagreement, freshness and authorisation) and one result: verified, listed, stale or unknown. Price and stock are never verified from the record: they are read live, or unknown.
Inputs: words (required), country (required), kind, issue_receipt. Returns: object
Tool Schema Changelog
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