# Aareguru MCP Server
[](https://aareguru.fastmcp.app/health/)
[](tests/)
[](tests/)
[](pyproject.toml)
[](https://github.com/jlowin/fastmcp)
MCP server for Swiss Aare river data, enabling AI assistants like Claude to
answer questions about swimming conditions, water temperature, flow rates, and
safety.
## 🚀 Quick Start
**Use directly from FastMCP Cloud** (no installation needed):
Add it is as *custom connector* in Claude Desktop:
No authentication is needed.
Altnernatively, you can add the [aareguru-mcp.mcpb](aareguru-mcp.mcpb) file via option in `Claude -> Settings -> Extensions`. Or edit the Claude desktop config file directly:
```json
{
"mcpServers": {
"aareguru": {
"url": "https://aareguru.fastmcp.app/mcp"
}
}
}
```
## 📸 Screenshots
## 🎯 Features
| Feature | Description |
| -------------------- | -------------------------------------------------------------------- |
| **7 MCP Tools** | Temperature, flow, safety, forecasts, comparisons, history |
| **4 MCP Resources** | Direct data access via `aareguru://` URIs |
| **3 MCP Prompts** | Daily reports, spot comparisons, weekly trends |
| **Rate Limiting** | 100 req/min, 1000 req/hour protection against abuse |
| **Metrics** | Prometheus endpoint for monitoring and observability |
| **Swiss German** | Authentic temperature descriptions ("geil aber chli chalt") |
| **BAFU Safety** | Official flow danger levels and thresholds |
| **Smart UX** | Proactive safety warnings, alternative suggestions, seasonal context |
| **200+ Tests** | 83% coverage, comprehensive test suite |
## 🛠️ Tools
| Tool | Description | Example Query |
| ------------------------- | ---------------------------------------- | ------------------------------- |
| `get_current_temperature` | Water temperature with Swiss German text | "What's the Aare temperature?" |
| `get_current_conditions` | Full conditions (temp, flow, weather) | "How's the Aare looking today?" |
| `get_flow_danger_level` | Flow rate + BAFU safety assessment | "Is it safe to swim?" |
| `list_cities` | All monitored cities | "Which cities have data?" |
| `get_historical_data` | Temperature/flow history | "Show last 7 days" |
| `compare_cities` | Multi-city comparison | "Which city is warmest?" |
| `get_forecast` | Temperature/flow forecast | "Will it be warmer later?" |
### BAFU Safety Thresholds
| Flow Rate | Level | Status |
| ------------ | --------- | ------------------------- |
| < 100 m³/s | Safe | Swimming OK |
| 100-220 m³/s | Moderate | Experienced swimmers only |
| 220-300 m³/s | Elevated | Caution advised |
| 300-430 m³/s | High | Dangerous |
| > 430 m³/s | Very High | Extremely dangerous |
## 📊 Resources
| URI | Description |
| --------------------------- | ---------------------------- |
| `aareguru://cities` | List of all monitored cities |
| `aareguru://current/{city}` | Full current data for a city |
| `aareguru://today/{city}` | Minimal current data |
| `aareguru://widget` | Overview of all cities |
## 💬 Prompts
| Prompt | Description |
| ------------------------ | -------------------------------------------------------------------------------- |
| `daily_swimming_report` | Comprehensive daily report with conditions, safety, forecast, and recommendation |
| `compare_swimming_spots` | Compare all cities to find the best swimming spot today |
| `weekly_trend_analysis` | Analyze temperature and flow trends over the past week |
## 💻 Local Installation
```bash
# Install uv and clone
curl -LsSf https://astral.sh/uv/install.sh | sh
git clone https://github.com/schlpbch/aareguru-mcp.git && cd aareguru-mcp
uv sync
# Run tests
uv run pytest
```
### Claude Desktop (Local)
Edit `~/Library/Application Support/Claude/claude_desktop_config.json`:
```json
{
"mcpServers": {
"aareguru": {
"command": "uv",
"args": ["--directory", "/path/to/aareguru-mcp", "run", "aareguru-mcp"]
}
}
}
```
## 🐳 Docker
```bash
cp .env.example .env
docker-compose up -d
curl http://localhost:8000/health
```
## ☁️ Hosting
### FastMCP Cloud (Recommended)
This server is deployed on [FastMCP Cloud](https://fastmcp.cloud), a managed platform for MCP servers with zero-config deployment.
**Features:**
- ✅ **Zero-Config Deployment** - Connect GitHub repo, automatic deployment
- ✅ **Serverless Scaling** - Scale from 0 to millions of requests instantly
- ✅ **Git-Native CI/CD** - Auto-deploy on push to `main`, branch deployments for PRs
- ✅ **Built-in Security** - OAuth support, token management, secure endpoints
- ✅ **MCP Analytics** - Request/response tracking, tool usage insights
- ✅ **Free Tier** - Available for personal servers
**Deployment Steps:**
1. **Sign in** to [fastmcp.cloud](https://fastmcp.cloud) with GitHub
2. **Create Project** and link your repository
3. **Deploy** - Platform automatically clones, builds, and deploys
4. **Access** - Get your unique URL (e.g., `https://aareguru.fastmcp.app/mcp`)
**Configuration:**
No special configuration needed! FastMCP Cloud auto-detects FastMCP servers. The server runs with:
- Health endpoint: `https://your-app.fastmcp.app/health`
- MCP endpoint: `https://your-app.fastmcp.app/mcp`
**Pricing:**
- Free tier for personal projects
- Pay-as-you-go for teams (usage-based)
### Alternative Hosting Options
FastMCP servers can be deployed to any Python-compatible cloud platform:
**Container Platforms:**
- Google Cloud Run
- AWS ECS/Fargate
- Azure Container Instances
**PaaS Providers:**
- Railway
- Render
- Vercel
**Cloud VMs:**
- AWS EC2
- Google Compute Engine
- Azure VMs
**Deployment Pattern:**
```python
# For HTTP deployment, modify server to use HTTP transport
from fastmcp import FastMCP
mcp = FastMCP("aareguru")
# ... register tools ...
if __name__ == "__main__":
mcp.run(transport="sse") # Server-Sent Events for HTTP
```
Then containerize with Docker and deploy to your chosen platform.
## 📊 Monitoring & Observability
### Prometheus Metrics
The server exposes Prometheus-compatible metrics at `/metrics` for monitoring:
**Available Metrics:**
- `aareguru_mcp_tool_calls_total` - Counter of tool invocations by name and status
- `aareguru_mcp_tool_duration_seconds` - Histogram of tool execution times
- `aareguru_mcp_api_requests_total` - Counter of Aareguru API requests
- `aareguru_mcp_errors_total` - Counter of errors by type and component
- `aareguru_mcp_active_requests` - Gauge of currently active requests
**Example:**
```bash
curl http://localhost:8000/metrics
```
### Rate Limiting
HTTP endpoints are protected with rate limiting:
- **Default limits**: 100 requests/minute, 1000 requests/hour
- **Health endpoint**: 60 requests/minute
- **Headers**: Rate limit info included in responses
- **429 responses**: Automatic retry-after headers when limits exceeded
## 🧪 Development
```bash
uv run pytest # Run tests
uv run pytest --cov=aareguru_mcp # With coverage
uv run black src/ tests/ # Format
uv run ruff check src/ tests/ # Lint
```
## 📁 Project Structure
```
aareguru-mcp/
├── src/aareguru_mcp/ # Server, client, models, config
├── tests/ # 200 tests, 87% coverage
├── docs/ # API docs, testing, implementation
├── mcp_server.py # FastMCP CLI entry
└── pyproject.toml
```
## 🔒 Data Attribution
Data from [BAFU](https://www.hydrodaten.admin.ch),
[Aare.guru](https://aare.guru), MeteoSchweiz, Meteotest.
> **Non-commercial use only** - Contact: aaregurus@existenz.ch
## 📄 License
MIT License - See [LICENSE](LICENSE)
---
**Built with ❤️ for the Swiss Aare swimming community**
