mcp server
io.github.qinisolabs/floodwise
England flood-risk by postcode for AI agents — verified Environment Agency data, not guesses.
Description as published by the maintainer. Source
- version 0.1.0
- active
active — Registry entry last updated 2026-06-18.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 0.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-18 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-06-18 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol |
Where to get it
Also from qinisolabs
-
io.github.qinisolabs/bizdays
Verified business-day math for AI agents: holidays + per-country weekends, not guesses.
-
io.github.qinisolabs/companieswise
Verified UK company lookup & validation for AI agents — Companies House data, snapshot or live.
-
io.github.qinisolabs/icdwise
Verified ICD-10-CM code lookup & validation for AI agents — official descriptions, not guesses.
-
io.github.qinisolabs/localecheck
Verified locale data for AI agents: dates, phone, currency, tax, holidays, addresses (UK/US)
-
Qiniso
Deterministic fact verification for AI agents — checksums & curated data, not guesses.
-
io.github.qinisolabs/sanctionwise
Verified UK sanctions screening for AI agents — official FCDO UK Sanctions List, not guesses.
-
io.github.qinisolabs/veridigit
Verified IBAN, card, ISBN-13 & VIN validation for AI agents — checksums, not guesses.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab