Server data from the Official MCP Registry
MCP server for current weather and multi-day forecasts worldwide, Chinese city names and output.
About
MCP server for current weather and multi-day forecasts worldwide, Chinese city names and output.
Remote endpoints: streamable-http: https://mcp.pianam.cn/weather-mcp/mcp
Security Report
This weather forecast MCP server is well-structured with appropriate security controls for its purpose. It requires no authentication (matching its public API design), implements reasonable rate limiting, and makes read-only queries to public weather APIs. Minor code quality observations exist around error handling and SSL certificate verification, but these do not constitute security vulnerabilities given the server's read-only, stateless nature. Supply chain analysis found 10 known vulnerabilities in dependencies (0 critical, 7 high severity).
4 files analyzed · 15 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
Weather Forecast MCP
Current weather + up to 7-day forecasts for cities worldwide (Chinese and English city names, Chinese output), with dual data sources for reliability.
- Try it in 30 seconds: a free public MCP endpoint is already running — just paste the URL into your MCP client (no install, no API key).
- Or self-host: a single Python file, stdlib HTTP + FastMCP, zero paid dependencies.
⚡ Use the hosted endpoint (no setup)
https://mcp.pianam.cn/weather-mcp/mcp
Transport: Streamable HTTP (MCP 2025-03-26 compatible). No authentication required.
🔌 Client configuration
Add this to your MCP client's mcpServers configuration (Claude Desktop claude_desktop_config.json, Cursor mcp.json, Cline, Cherry Studio, etc.):
{
"mcpServers": {
"weather": {
"type": "http",
"url": "https://mcp.pianam.cn/weather-mcp/mcp"
}
}
}
Clients that do not accept
"type": "http"(some Cherry Studio / older Cline versions) accept the same entry with just"url".
🧰 Tools
| Tool | Parameters | Returns |
|---|---|---|
query_weather(city, days=3) | city: Chinese or English city name, e.g. "青岛", "北京", "Tokyo".days: forecast days, 1–7 (default 3). | Current conditions (weather text, temperature, feels-like, humidity, wind direction/speed) + daily forecast (date, weather, high/low, precipitation probability). |
📡 Data sources, caching & limits
- Primary source: Open-Meteo — free, no API key, no registration; geocoding + forecast, with Chinese-language city resolution (administrative-city ranking to avoid village name collisions).
- Automatic fallback: wttr.in if the primary source fails.
- WMO weather codes and wind directions are translated to Chinese in the output.
- Results cached for 600 seconds; the hosted endpoint is rate-limited to 200 requests / minute / IP.
🐢 Self-hosting
git clone https://github.com/boy-373/weather-mcp-china.git
cd weather-mcp-china
pip install -r requirements.txt
python weather_mcp_server.py
# the server listens on 127.0.0.1:8004 by default; override with:
# MCP_HOST=0.0.0.0 MCP_PORT=9000 python weather_mcp_server.py
# MCP_ALLOWED_HOSTS="your-domain.com,127.0.0.1:*"
# MCP_ALLOWED_ORIGINS="https://your-domain.com"
Then point your MCP client at http://127.0.0.1:8004/mcp.
No API keys or accounts are ever required.
🐳 Self-host with Docker
Option A — pull the pre-built image (fastest, no build):
docker run -d -p 8000:8000 --name weather-mcp-china ghcr.io/boy-373/weather-mcp-china:latest
Option B — build from source:
git clone https://github.com/boy-373/weather-mcp-china.git
cd weather-mcp-china
docker build -t weather-mcp-china .
docker run -d -p 8000:8000 --name weather-mcp-china weather-mcp-china
Then point your MCP client at http://127.0.0.1:8000/mcp.
The container listens on 0.0.0.0:8000 by default (override with -e MCP_PORT=9000 and adjust -p accordingly). No API keys or accounts required.
🗂️ Files
weather_mcp_server.py— the MCP server (FastMCP, Streamable HTTP transport).rate_limit.py— lightweight per-IP sliding-window rate-limit middleware (200 req/min default).requirements.txt—mcp,uvicorn,starlette.server.json— official MCP Registry manifest (remote server entry, ready to publish withmcp-publisher).smithery.yaml/glama.json— directory listing metadata.
🇨🇳 中文使用说明
一句话:全球城市实时天气与多日预报,中文城市名直接查、结果中文输出,最长 7 天预报。
在线直连地址(免费、无需 Key、开箱即用):https://mcp.pianam.cn/weather-mcp/mcp
在 MCP 客户端(Claude Desktop / Cursor / Cherry Studio / Cline 等)的配置里加入:
{
"mcpServers": {
"weather": {
"type": "http",
"url": "https://mcp.pianam.cn/weather-mcp/mcp"
}
}
}
工具:
query_weather(city, days):查天气。城市名中英文均可(「青岛」「北京」「Tokyo」),days为预报天数(1-7,默认 3)。- 返回当前天气(天气状况/温度/体感温度/湿度/风向风速)+ 每日预报(日期/天气/最高最低温/降水概率)。
- 主数据源 Open-Meteo(免费无需 Key),故障自动切换 wttr.in。
服务特性:数据源全部为公开接口、无需注册/付费;服务端内存缓存、失败自动降级/切换备用通道;单 IP 限流 200 次/分钟。
本地部署:
git clone https://github.com/boy-373/weather-mcp-china.git
cd weather-mcp-china
pip install -r requirements.txt
python weather_mcp_server.py
# 默认监听 127.0.0.1:8004,可用环境变量 MCP_HOST / MCP_PORT / MCP_ALLOWED_HOSTS / MCP_ALLOWED_ORIGINS 覆盖
Docker 自托管:
# 方式一:直接拉预构建镜像(最快,无需构建)
docker run -d -p 8000:8000 --name weather-mcp-china ghcr.io/boy-373/weather-mcp-china:latest
# 方式二:从源码构建
git clone https://github.com/boy-373/weather-mcp-china.git && cd weather-mcp-china
docker build -t weather-mcp-china .
docker run -d -p 8000:8000 --name weather-mcp-china weather-mcp-china
# MCP 地址填:http://127.0.0.1:8000/mcp
容器默认监听 0.0.0.0:8000(可用 -e MCP_PORT=端口 改),无需任何 API Key 或账号。
📄 License
MIT © 2026 boy-373
Install via Smithery
One-click install for Smithery-supported clients (Claude Desktop, Cursor, etc.):
Or run:
npx -y @smithery/cli install 1561852680/weather-mcp-china --client claude
🔌 Use with Any AI Client — One-Click MCP Gateway
We host a free MCP aggregation gateway: your AI assistant (Cherry Studio, Claude Desktop, Cursor, Cline — any MCP client) discovers and uses MCP tools through a single URL:
https://mcp.pianam.cn/ai/mcp
Add it once, then talk in plain language — the AI automatically searches → inspects → calls the right MCP for you.
- 🔍 Search across 22,000+ indexed MCP servers (Chinese & English)
- ⚡ 50+ live hosted MCPs callable directly out of the box (weather, exchange rates, hot trends, IP geo, train tickets…)
- 📦 GitHub-based MCPs: search finds them with links to install locally
- ✅ Servers health-checked weekly — alive ones ranked first
- 🆓 Free to use, no key required
📖 3-step setup guide / 中文接入教程: https://mcp.pianam.cn/ai-gateway
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