LandiWetter MCP Server
@nabossha
基本信息
关于 LandiWetter MCP Server
a simple PoC on how to integrate a custom data-provider in an MCP Server
LandiWetter MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"LandiWetter": {
"command": "node",
"args": [
"/path/to/landiwetter-mcp/src/index.js"
]
}
}
}LandiWetter MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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
其他 分类下的更多 MCP 服务器
MCP Toolbox for Databases
googleapisMCP Toolbox for Databases is an open source MCP server for databases.

Glasswarp
GlasswarpSee and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
MaxKB
1Panel-dev🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Screenpipe
screenpipeYC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
Hindsight
vectorize-ioHindsight: Agent Memory That Learns
评论