Overview of MCP Server

The MCP Server is an advanced system monitoring tool designed to provide real-time system metrics through the Model Context Protocol (MCP). This innovative tool acts as a bridge, allowing Large Language Models (LLMs) to access and interact with external data sources seamlessly. By leveraging the MCP-compatible interface, businesses can optimize their operations and enhance decision-making processes.

Key Features

CPU Information

The MCP Server offers detailed CPU insights, including usage percentages, core counts, and comprehensive CPU information. This feature allows businesses to monitor their CPU’s performance effectively, ensuring optimal operation and preventing potential bottlenecks.

Memory Information

Memory management is crucial for maintaining system stability. The MCP Server provides detailed reports on both virtual and swap memory usage, helping businesses manage their resources efficiently.

Disk Information

Understanding disk usage is vital for data management. The MCP Server offers insights into disk usage, partitions, and I/O statistics, enabling businesses to optimize storage solutions and prevent data loss.

Network Information

Network performance is crucial for seamless operations. The MCP Server provides detailed statistics on network interfaces, connections, and traffic, allowing businesses to maintain robust network performance.

Host Information

Gain insights into system details, uptime, boot time, and user activity with the MCP Server. This feature ensures that businesses can monitor system health and user engagement effectively.

Process Information

Managing processes is essential for system efficiency. The MCP Server provides detailed process listings, sorting options, and per-process statistics, allowing businesses to optimize their workflows and enhance productivity.

Use Cases

1. Enterprise IT Monitoring: By providing real-time system metrics, the MCP Server enables IT departments to monitor and manage enterprise systems more effectively, ensuring optimal performance and reducing downtime.

2. Data-Driven Decision Making: With access to comprehensive system metrics, businesses can make informed decisions backed by real-time data, enhancing operational efficiency and strategic planning.

3. AI Integration: The MCP Server’s compatibility with LLMs allows businesses to integrate AI models seamlessly, enabling advanced data analysis and automation.

4. Resource Optimization: By providing detailed insights into system resources, the MCP Server allows businesses to optimize resource allocation, reducing costs and enhancing performance.

About UBOS Platform

UBOS is a full-stack AI Agent Development Platform dedicated to bringing AI Agents to every business department. Our platform helps orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents using LLM models and Multi-Agent Systems. With UBOS, businesses can harness the power of AI to drive innovation and efficiency across all operations.

Installation and Usage

To install the MCP Server, clone the repository and build the application using the following commands:

git clone https://github.com/seekrays/mcp-monitor.git
cd mcp-monitor
make build

Run the compiled binary to start the server in stdio mode, ready to communicate with an MCP-compatible LLM client:

./mcp-monitor

Contributing

We welcome contributions to the MCP Server project. Please feel free to submit a Pull Request to help improve and expand the tool’s capabilities.