floodwise
OfficialClick 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., "@floodwisewhat's the flood risk for SW1A 1AA?"
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.
floodwise
England flood-risk by postcode for AI agents — verified Environment Agency data, not guesses.
Verified, trustworthy data tools for AI agents. "Qiniso" means "truth" in Zulu.
Website · npm · MCP Registry
Ask an LLM "what's the flood risk at SW1A 1AA?" and it will answer confidently — but it cannot know: per-postcode flood risk is specific, curated data that lives in a government dataset, not in a model's weights. floodwise looks the postcode up in the Environment Agency's official "Flood risk: postcode search tool" data and returns the real long-term risk band — or an honest "not found" instead of a guess.
⚠️ Read this first — what floodwise is and isn't
England only. The data is the Environment Agency's, which covers England. Wales (Natural Resources Wales), Scotland (SEPA) and Northern Ireland (DfI) are not covered. A valid Welsh/Scottish postcode returns "not found", never a guess.
Area-level, not property-level. The risk is for the area around the addresses in a postcode — not a specific building. The EA states this data is "generally not suitable for property level assessment".
Long-term risk, not a live warning. It reflects the long-term annual chance of flooding, not whether flooding is happening now or forecast. It is not insurance, underwriting, surveying or professional advice.
Related MCP server: GOV UK Search
Add it to Claude
floodwise runs locally over stdio (no key, no login). Once it's on npm, add it under mcpServers in your client config:
{ "command": "npx", "args": ["-y", "floodwise"] }Use it as a library
npm i floodwiseimport { floodRiskByPostcode, validatePostcode } from "floodwise";
floodRiskByPostcode("SW1A 1AA");
// {
// postcode: "SW1A 1AA", found: true, headlineRisk: "Very Low",
// addressesAtRisk: { high: 0, medium: 0, low: 0 }, groundwater: "Unlikely",
// coverage: "England", dataset: "ea-official", ...
// }
floodRiskByPostcode("EH1 1AA").found; // false — valid postcode, but Scotland (out of EA coverage), no guess
validatePostcode("ec1a1bb"); // { valid: true, postcode: "EC1A 1BB", outcode: "EC1A", incode: "1BB" }Postcodes are accepted spaced or unspaced, any case. A well-formed postcode that isn't in the loaded England dataset returns found: false with a clear note — it never invents a risk level.
Tools — 2
Tool | What it answers |
flood_risk_by_postcode | The EA long-term flood-risk band (High/Medium/Low/Very Low) for an England postcode, address counts per band, and the groundwater indication |
validate_postcode | Is this a well-formed UK postcode? (deterministic format check + outcode/incode split) |
Data
The flood data is the Environment Agency "Flood risk: postcode search tool data" (England), published as open data under the Open Government Licence v3.0. Each postcode carries the number of addresses whose surrounding area is at high (≥3.3%/yr), medium (1–3.3%) or low (0.1–1%) long-term risk from rivers, sea or surface water (the highest of these), plus a separate groundwater Possible/Unlikely indication. Refreshed roughly quarterly.
This repository ships an illustrative starter sample (non-geographic
ZZpseudo-postcodes) so tests run out of the box — every response from it is taggeddataset: "sample". To load the real data, downloadPostcodes_Risk_Assessment_All.csvfrom data.gov.uk / the Defra Data Services Platform and run:npm run build-data /path/to/Postcodes_Risk_Assessment_All.csv 2025-Q4 npm run build && npm test
Attribution: Contains public sector information licensed under the Open Government Licence v3.0. © Environment Agency copyright and/or database right. See NOTICE.
What it is not
Not advice. Not insurance, underwriting, surveying, mortgage or legal advice; not a property-level survey.
Not all flood types. Excludes flooding from highway drains, sewers and overland flow; groundwater is reported separately and isn't combined into the headline band.
Not the whole UK. England only (see above).
Not a guesser. Unknown/out-of-coverage postcodes return an honest "not found", never a fabricated risk level.
Architecture
A single TypeScript package exposing one MCP server over stdio (local / npx), driven by the same core.ts tool definitions that power the importable library. A Cloudflare Worker entry is included for a future hosted edge endpoint — note the full England dataset (~1.6M postcodes) exceeds the Worker bundle limit, so the hosted build will move the data into Cloudflare D1 (a follow-on); the npm library and stdio server run the full dataset directly.
npm install
npm run build
npm testLicense
Apache-2.0. Flood data © Environment Agency, Open Government Licence v3.0; see NOTICE.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/qinisolabs/floodwise'
If you have feedback or need assistance with the MCP directory API, please join our Discord server