Weather Forecast MCP
by boy-373
README.md
# Weather Forecast MCP
[](LICENSE)
[](https://modelcontextprotocol.io)
[](https://mcp.pianam.cn/weather-mcp/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.):
```json
{
"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"`.<br>`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](https://open-meteo.com/)** — 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](https://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
```bash
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):**
```bash
docker run -d -p 8000:8000 --name weather-mcp-china ghcr.io/boy-373/weather-mcp-china:latest
```
**Option B — build from source:**
```bash
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 with `mcp-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:
```json
{
"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**:
```bash
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**:
```bash
# 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](LICENSE) © 2026 boy-373
## Install via Smithery
One-click install for [Smithery](https://smithery.ai)-supported clients (Claude Desktop, Cursor, etc.):
[](https://smithery.ai/servers/1561852680/weather-mcp-china)
Or run:
```bash
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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