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qinisolabs/floodwise

qinisolabs/floodwise

Long-term flood-risk bands for England
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add floodwise -- npx -y floodwise
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · qinisolabs/floodwise · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
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综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 qinisolabs/floodwise;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

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.
来源
awesome · https://github.com/qinisolabs/floodwise
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