One address for any MCP client. No sign-in needed on this server.
At most: only reads or looks up information.
Odel charges nothing per call. The publisher may charge for its own service.
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Current weather + up to 7-day forecasts for cities worldwide (Chinese and English city names, Chinese output), with dual data sources for reliability.
https://mcp.pianam.cn/weather-mcp/mcp
Transport: Streamable HTTP (MCP 2025-03-26 compatible). No authentication required.
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".
| 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). |
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.
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.
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 with mcp-publisher).smithery.yaml / glama.json — directory listing metadata.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)。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。
MIT © 2026 boy-373
One-click install for Smithery-supported clients (Claude Desktop, Cursor, etc.):
Or run:
npx -y @smithery/cli install 1561852680/weather-mcp-china --client claude
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.
📖 3-step setup guide / 中文接入教程: https://mcp.pianam.cn/ai-gateway