MCP System Monitor

What is MCP Monitor? MCP Monitor is a system monitoring tool that exposes system metrics via the Model Context Protocol (MCP), allowing LLMs to retrieve real-time system information through an MCP-compatible interface. How to use MCP Monitor? To use MCP Monitor, clone the repository from GitHub, build the project, and run the compiled binary. The server will start in stdio mode, ready to communicate with an MCP-compatible LLM client. Key features of MCP Monitor? Real-time CPU, memory, disk, network, host, and process information. Detailed metrics including usage percentages, core counts, and I/O statistics. Ability to query specific metrics through various tools provided in the system. Use cases of MCP Monitor? Monitoring system performance in real-time for optimization. Integrating with LLMs to provide contextual system information. Analyzing resource usage for troubleshooting and capacity planning. FAQ from MCP Monitor? What metrics can MCP Monitor provide? MCP Monitor provides metrics for CPU, memory, disk, network, host, and processes. How do I install MCP Monitor? You can install MCP Monitor by cloning the repository and building the project using the provided commands. Is MCP Monitor compatible with all LLMs? MCP Monitor is designed to be compatible with any LLM that supports the Model Context Protocol.

As an MCP (Model Context Protocol) server, MCP System Monitor enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use MCP Monitor, clone the repository from GitHub, build the project, and run the compiled binary. The server will start in stdio mode, ready to communicate with an MCP-compatible LLM client. Key features of MCP Monitor? Real-time CPU, memory, disk, network, host, and process information. Detailed metrics including usage percentages, core counts, and I/O statistics. Ability to query specific metrics through various tools provided in the system. Use cases of MCP Monitor? Monitoring system performance in real-time for optimization. Integrating with LLMs to provide contextual system information. Analyzing resource usage for troubleshooting and capacity planning. FAQ from MCP Monitor? What metrics can MCP Monitor provide? MCP Monitor provides metrics for CPU, memory, disk, network, host, and processes. How do I install MCP Monitor? You can install MCP Monitor by cloning the repository and building the project using the provided commands. Is MCP Monitor compatible with all LLMs? MCP Monitor is designed to be compatible with any LLM that supports the Model Context Protocol.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.