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A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.
A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).
Exposes system tools (disk usage, file listing) and weather information via Open-Meteo to MCP-compatible LLMs.
A simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.
MCP server providing tools to chat with an AI agent, fetch weather data, and monitor agent status via the Model Context Protocol.
A lightweight MCP server that enables AI assistants to interact with the local machine through terminal, filesystem, and Python execution tools.