LandiWetter MCP Server

Name: LandiWetter MCP Server
Author: nabossha

@nabossha

Repository

About LandiWetter MCP Server

a simple PoC on how to integrate a custom data-provider in an MCP Server

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "LandiWetter": {
      "command": "node",
      "args": [
        "/path/to/landiwetter-mcp/src/index.js"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is LandiWetter MCP Server?

The LandiWetter MCP Server is a Model Context Protocol server that provides Swiss weather forecast data from LandiWetter. It enables users to search for Swiss locations by name and retrieve detailed hourly and daily weather forecasts for use in MCP-compatible clients.

How to use LandiWetter MCP Server?

Install via npm install, then start with npm start for stdio transport. Integrate with Claude Desktop by adding a custom MCP server configured with the command node /path/to/landiwetter-mcp/src/index.js. Invoke the tools searchLocation (by name) and getWeatherForecast (by location ID and optional date), or access the resource at weather://{location}/{date}.

Key features of LandiWetter MCP Server

Search for Swiss locations by name
Get detailed hourly and daily weather forecasts
Access forecasts for a specific location and date
Use as a tool or resource in MCP clients
Defaults to today’s forecast if no date given

Use cases of LandiWetter MCP Server

Ask an AI assistant for the

Comments

Basic information

More Other MCP servers

MCP Go 🚀

mark3labs

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

8.9K

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K