Skip to main content
Glama
schlpbch

Aareguru MCP Server

by schlpbch

compare_cities

Compare Swiss Aare river swimming conditions across cities to identify temperature rankings, flow safety status, and get recommendations for optimal locations.

Instructions

⚡ FAST: Compare multiple cities with parallel fetching (8-13x faster).

This is the recommended tool for comparing cities. Fetches all city data concurrently instead of sequentially.

Performance: 10 cities in ~60-100ms vs ~800ms sequential

Args: cities: List of city identifiers (e.g., ['Bern', 'Thun']). If None, compares all available cities.

Returns: Dictionary with comparison results including temperature ranking, safety status, and recommendations: - cities (list): List of city data with temperature, flow, safety - warmest (dict): City with highest temperature - coldest (dict): City with lowest temperature - safe_count (int): Number of cities with safe flow levels - total_count (int): Total number of cities compared

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
citiesNo

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/schlpbch/aareguru-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server