Provides weather-related tools using the US National Weather Service API.
This project is a demo implementation of a Model Context Protocol (MCP) server that provides weather-related tools. The server exposes two tools:
To install mcp-server-learn for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @adarshem/mcp-server-learn --client claude
Clone the repository:
git clone <repository-url>
cd weather
Install dependencies using pnpm
(as configured in the project):
pnpm install
Build the project:
pnpm build
Update your settings.json
file of VSCode to add this MCP server
{
"mcpServers": {
"weather": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather/build/index.js"
]
}
}
}
An MCP server for fetching verifiable random numbers from the drand network.
Execute stock and crypto trades via Trade Agent
Performs satellite orbital mechanics calculations using natural language, with a built-in world cities database for location lookup.
Generates O'RLY? (O'Reilly parody) book covers.
Generates true random coin flips using the random.org API.
Generates 3D-style cartoon images using Google's Gemini AI and provides secure file system operations.
generate lyrics, song and background music(instrumental)
Provides real-time system information and metrics, including CPU, memory, disk, network, and process status.
Connects Large Language Models (LLMs) with Guild Wars 2 data sources. Requires a Guild Wars 2 API key for wallet functionality.
Send Nano currency and retrieve account and block information using the Nano node RPC.