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mcp-monitor

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.

How to use

The mcp-monitor is a powerful system monitoring tool that leverages the Model Context Protocol (MCP) to expose real-time system metrics. Developers can utilize this tool to retrieve critical system information, enabling better performance monitoring and optimization of applications that rely on large language models (LLMs). Its MCP-compatible interface allows seamless integration and interaction with various LLMs, providing insights into system health and resource utilization.

Once connected to the mcp-monitor server, you can interact with it by sending queries to retrieve various system metrics, such as CPU usage, memory consumption, and disk I/O statistics. You can use commands that are aligned with the MCP specification to request real-time data, making it easy to monitor system performance dynamically. For optimal results, structure your queries to focus on specific metrics that are critical to your application’s performance needs.

How to install

To install mcp-monitor, ensure you have Node.js installed on your system. You can quickly get started using the following command with npx:

npx -y mcp-monitor

Alternatively, you can install it globally using npm:

npm install -g mcp-monitor

Make sure to check the official repository for any additional installation options or dependencies.

Additional notes

When configuring mcp-monitor, you may want to set environment variables to customize its behavior, such as defining the host or port for the server. Additionally, be aware of any potential firewall settings that could block connections to the monitoring service. It's also a good practice to monitor resource limits of the system running mcp-monitor to ensure optimal performance.

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