GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Real-time natural hazard monitoring: earthquakes, tsunamis, volcanoes, solar weather, air quality
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"wems": {
"command": "uvx",
"args": [
"wems-mcp-server"
]
}
}
}在终端中运行这条命令
claude mcp add wems -- uvx wems-mcp-server粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"wems": {
"command": "uvx",
"args": [
"wems-mcp-server"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"wems": {
"type": "stdio",
"command": "uvx",
"args": [
"wems-mcp-server"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 heliosarchitect 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.5.3)于9个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
🚨 Real-time Natural Hazard Monitoring for AI Agents
A powerful Model Context Protocol (MCP) server that connects AI assistants to authoritative natural hazard data sources. Monitor earthquakes, tsunamis, volcanoes, and solar events with configurable alerts and webhooks.
🤖 AI Agents: Skip scanning this repo. Read
AI.TOCfirst — it's a 500-token project map. Then useAI.INDEXto find specific functions andAI.REGISTERfor env vars, APIs, and config. This project uses the LBF AI Navigation Standard.
| Hazard Type | Data Source | Coverage |
|---|---|---|
| 🌊 Earthquakes | USGS | Global, magnitude filtering |
| 🌊 Tsunamis | NOAA PTWC + CTWC | Global ocean basins |
| 🌋 Volcanoes | Smithsonian GVP + USGS | Global volcanic activity |
| ☀️ Solar Events | NOAA SWPC | Solar flares, CMEs, geomagnetic storms |
| 🌞 Space Weather Alerts | NOAA SWPC | Active space weather alerts & warnings |
| 🌀 Hurricanes | NHC + NWS | Atlantic & Pacific tropical cyclones |
| 🔥 Wildfires | NWS + NIFC | Fire weather alerts & active perimeters |
| ⛈️ Severe Weather | NWS Alerts | Tornadoes, thunderstorms, floods, winter storms |
| 💨 Air Quality | OpenAQ | Global AQI, PM2.5, PM10, O₃, NO₂, SO₂, CO |
| 🌵 Drought Conditions | US Drought Monitor | US state drought levels (D0-D4) + trends |
| 🛡️ Threat Advisories | DHS NTAS + State Dept + CISA | Terrorism, travel risk, cyber threats |
pip install wems-mcp-server
git clone https://github.com/heliosarchitect/wems-mcp-server.git
cd wems-mcp-server pip install -r requirements.txt
# Run as MCP server (connects to AI assistants)
python -m wems_mcp_server
python -c " import asyncio from wems_mcp_server import check_earthquakes print(asyncio.run(check_earthquakes(min_magnitude=6.0))) "
bash scripts/setup_wems_alerting_ai.sh
This will:
wems-unified-relay.service{
"earthquakes_found": 3, "events": [ { "magnitude": 7.2, "location": "67 km SW of Tres Picos, Mexico", "time": "2024-02-13T14:30:15Z", "depth": 35.8, "tsunami_threat": true } ] }
| Tool | Description |
|---|---|
check_earthquakes | Query recent earthquake activity |
check_solar | Monitor space weather (K-index, flares, CMEs) |
check_volcanoes | Track volcanic activity alerts |
check_tsunamis | Monitor tsunami warnings |
check_hurricanes | Track tropical cyclones & forecast tracks |
check_wildfires | Fire weather alerts & active perimeters |
check_severe_weather | Monitor tornadoes, thunderstorms, flash floods |
check_floods | Flood warnings & USGS river gauge data |
check_air_quality | AQI monitoring with pollutant data |
check_threat_advisories | Terrorism, travel risk & cyber threat monitoring |
check_space_weather_alerts | Active space weather alerts & warnings from NOAA SWPC |
check_drought_status | US state drought conditions with D0-D4 levels (Premium) |
configure_alerts | Update alert thresholds and webhooks |
fuse_multi_source_incidents | Multi-source incident fusion (feature-flagged) |
alerts:
earthquake: min_magnitude: 6.0 regions: ["US", "Caribbean", "Pacific"] webhook: "https://your-endpoint.com/earthquake"
solar: min_kp_index: 7 # Geomagnetic storm threshold webhook: "https://your-endpoint.com/solar"
volcano: alert_levels: ["WARNING", "WATCH"] webhook: "https://your-endpoint.com/volcano"
tsunami: enabled: true regions: ["pacific", "atlantic", "indian"] webhook: "https://your-endpoint.com/tsunami"
Add to your OpenClaw configuration:
{
"mcpServers": { "wems": { "command": "python3", "args": ["/path/to/wems-mcp-server/wems_mcp_server.py"], "env": { "WEMS_CONFIG": "/path/to/config.yaml" } } } }
# config.yaml - Full customization example
alerts: earthquake: min_magnitude: 6.0 regions: ["US", "Caribbean", "Pacific"] webhook: "https://your-endpoint.com/earthquake"
solar: min_kp_index: 7 # G3+ geomagnetic storm webhook: "https://your-endpoint.com/solar"
volcano: alert_levels: ["WARNING", "WATCH"] regions: ["Cascade Range", "Ring of Fire"] webhook: "https://your-endpoint.com/volcano"
tsunami: enabled: true regions: ["pacific", "atlantic", "indian"] webhook: "https://your-endpoint.com/tsunami"
Pair with monitoring tools for comprehensive coverage:
# Example: Send earthquake data to monitoring system
curl -X POST https://your-monitoring.com/api/events \ -H "Content-Type: application/json" \ -d "$(python -c 'import wems; print(wems.get_recent_earthquakes())')"
WEMS now includes Stripe metering scaffolding and affordable default pricing.
1 unitcheck_space_weather_alerts: 2 unitsfuse_multi_source_incidents: 3 unitsSee: config/wems_stripe_billing.json
Key fields:
event_nameapi_key_to_customerbilling_units.defaultbilling_units.by_toolpricing.free_calls_per_rolling_30dpricing.tiers[]STRIPE_API_KEY or STRIPE_SECRET_KEY (direct env)WEMS uses best-effort lookup and never blocks alerting if billing key resolution fails.
Built with ❤️ for the AI community by Helios 🌞
*Part of the expanding OpenClaw ecosystem*