
Nankai Trough
io.github.mrslbt由 GitHub 账号 mrslbt 发布v0.2.1更新于 Oct 24, 2026
Nankai Trough earthquake hazard & building-safety, from official Japan data. No verdicts.
概览
本地 MCP 服务器,让助手获取带出处的日本官方南海海槽地震灾害数据,并提供建筑抗震标准与防灾准备建议。
- 可以做什么
- 概述 2025 年官方南海海槽情景:发生概率、伤亡、震度 7 范围与海啸,均附来源与日期
- 按日本地址或 7 位邮编查询官方逐地址灾害风险图与 J-SHIS 30 年震度概率
- 根据建筑年份与结构判定抗震标准世代,并指向补贴抗震诊断与加固项目
- 解释日本气象厅震度等级,并生成有出处的家庭防灾准备计划
- 对日本地址进行地理编码,并读取来源清单、主要数据、震度等级与建筑标准等参考资源
- 适用场景
- 适合有人询问南海海槽地震的规模与波及范围、某个日本地址的官方灾害风险图,或某年建造的房屋属于旧抗震还是新抗震标准时使用。面向希望获得有出处数据而非安慰性结论的居民与房主。
- 运行要求
- 通过 npx(需 Node.js)或从源码构建后本地以 stdio 运行;无需 API 密钥或环境变量。地址工具最好使用日文地址或 7 位邮编,并需联网访问官方地理编码与数据来源。
安装
在 SourceWeft 中
- 打开 控制台中的 Nankai Trough,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
nankai-trough-mcp
Nankai Trough (南海トラフ地震) earthquake hazard and building-safety engine for AI assistants. Ask "how bad is the Nankai Trough quake, how far does it reach, and what does that mean for a house built in 1978?" and get official Japanese government figures, every one cited and dated, with a route to the official maps for your exact address. It never tells you you're "safe."
It reports what 内閣府 (Cabinet Office), 地震本部, 気象庁, and 国土交通省 actually publish, and where a figure isn't verifiable, it points you at the source instead of inventing one. Bilingual EN/JA. Runs locally, no API keys.
Live companion map: https://nankaitrough.bymarsel.me (this is the open data engine behind it, the same official data as an explorable map).
⚠️ Not a prediction, not a verdict. This explains official data and routes you to official guidance and a professional seismic diagnosis (耐震診断). Always confirm with your municipality and official hazard maps. In an emergency, follow official evacuation instructions.
Why it exists
Most people underestimate the reach. The 30-year probability was revised by 地震本部 in September 2025 away from the old single "80%" to a two-model range (60–90%+ (higher model) / 20–50%). Intensity-7 shaking is projected across 10 prefectures, and 764 municipalities in 31 prefectures face major shaking or a 3 m+ tsunami. "I'm inland, so I'm fine" is exactly the assumption this corrects.
The authoritative data is real, but it's scattered across five agencies and mostly buried in PDFs. This server makes it cited and usable from an AI assistant, without ever inventing a number.
The attitude: assume the worst
The earthquake is unknown, and claiming we know is an illusion. So the refusal here is one-directional: the tools will alarm you with official numbers, and they will never reassure you.
Where the official model publishes several cases, the severe one leads. A low
probability is reported as a floor, not a ceiling, and is never relayed as good
news. location_probability will tell you the government puts your mesh at a 12%
chance of 震度6強 in 30 years; it will not tell you that means you are fine.
If you cannot write Japanese
The official geocoder only reads Japanese addresses, which would have excluded the people this server is for. Give a 7-digit postal code instead and every address-taking tool resolves it through Japan Post data:
That lands on the centre of your postal district rather than your building, and the
tools say so in the response rather than pretending to more precision than they have.
All output is available in English with language: "en".
Data rules
- No verdicts. It reports official figures + plain-language meaning, never "your home is safe/unsafe."
- Every figure cites its official source + date. If a value isn't verifiable in a primary source, it points to the source instead of guessing.
- Probabilistic ≠ scenario. J-SHIS (all-source probability) is never presented as the Nankai scenario (Cabinet Office).
- Building safety can't be looked up. It's classified from the build year + structure you provide. No fabricated per-building data.
Install
JSON config
The server config is the same across clients; only the file path differs.
Claude Code: ~/.claude/.mcp.json
Cursor: ~/.cursor/mcp.json
VS Code (GitHub Copilot): .vscode/mcp.json
Claude Desktop: claude_desktop_config.json
Config path:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
From source
Point the client config at the built entry:
Tools
Prompts: assess_home_earthquake_risk, nankai_briefing.
Resources
Read-only reference documents a client can list and read without a tool call. Each is rendered from the same data the tools use, so they never drift out of sync.
Example prompts
Scope
This server does not compute its own per-address values. Two different things follow from that:
- It reports official published per-mesh probabilities (
location_probability, J-SHIS Y2024). Surfacing a government figure is not inventing one. - It bridges to the official maps for the Nankai scenario at an address
(
official_hazard_maps). That data lives in bulk Cabinet Office GIS files needing an ingestion pipeline, and faking it is not on the table.
Headline figures (and where they come from)
Every figure below is verified against the primary government source and carries an as-of date in the tool output. See src/data/nankai.ts for the full verification log.
Sources & license
Official data is used as derived output with attribution; raw government files are never re-hosted.
出典:内閣府 南海トラフの巨大地震モデル・被害想定検討会 / 地震調査研究推進本部 / 気象庁 / 国土交通省(住まいの耐震化)/ 国土地理院(地理院タイル・ジオコーディング)/ 住宅リフォーム推進協議会。
日本語
南海トラフ地震のハザードと建物の耐震性を、公的データだけで扱うMCPサーバーです。内閣府・地震本部・気象庁・国土交通省の公表値を、出典と日付つきで提示し、あなたの住所の正確な想定震度・津波は公式ハザードマップへ橋渡しします。建物の安全性は「安全/危険」と判定せず、建築年と構造から耐震基準の世代を示し、耐震診断・補助制度へ案内します。ローカル動作、APIキー不要。
Disclaimer
This server surfaces official Japanese government data and explanations. It is not a prediction, not a verdict on whether you or your home are safe, and not a substitute for official evacuation guidance or a professional seismic diagnosis (耐震診断). Figures are approximate and as reported by their official sources; always confirm at the source. Unofficial, not affiliated with any government agency.
License
More MCPs
Built by Marsel Bait in Tokyo
来源:README.md,提交 cd1cea6
工具
0版本历史
2- v0.2.1最新Oct 6, 2026
- v0.1.1Sep 16, 2026
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