SkillTide Submit
Official description7 sourcesMCP servers8d ago
qinisolabs/floodwise

qinisolabs/floodwise

Long-term flood-risk bands for England
View on GitHub ↗Direct link · no redirect page
Config template (adjust for your client)
claude mcp add floodwise -- npx -y floodwise
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
1 ★ · qinisolabs/floodwise · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 1 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository qinisolabs/floodwise;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

floodwise

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**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.
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:
Use it as a library
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 ZZ pseudo-postcodes) so tests run out of the box — every response from it is tagged dataset: "sample". To load the real data, download Postcodes_Risk_Assessment_All.csv from data.gov.uk / the Defra Data Services Platform and run:
>
>
Attribution: *Contains public sector information licensed under the Open Government Licence v3.0. © Environment Agency copyright and/or database right.* See NOTICE.
Source
awesome · https://github.com/qinisolabs/floodwise
Browse by field
MCP servers
Traction
1 ★
added
yesterday

More in MCP servers

All 5,525 in MCP servers →

Filed under

Every tag opens the full list for that filter. Counts are the live catalogue figures.

Browse all fields →

← Back to index