Mcp System 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.
Overview
What is MCP Monitor?
MCP Monitor is a powerful system monitoring tool designed to expose system metrics through the Model Context Protocol (MCP). This innovative tool enables Large Language Models (LLMs) to access real-time system information via an MCP-compatible interface, making it an essential resource for developers and system administrators who need to monitor and optimize their systems effectively.
Features of MCP Monitor
- Real-Time Metrics: MCP Monitor provides real-time insights into system performance, allowing users to track various metrics such as CPU usage, memory consumption, and disk activity.
- MCP Compatibility: The tool is fully compatible with the Model Context Protocol, ensuring seamless integration with LLMs and other applications that utilize this protocol.
- User-Friendly Interface: MCP Monitor features an intuitive interface that simplifies the process of monitoring system metrics, making it accessible for users of all skill levels.
- Open Source: Being an open-source project, MCP Monitor encourages community contributions and allows users to modify the tool to suit their specific needs.
- Notifications and Alerts: Users can set up notifications to receive alerts when certain thresholds are met, ensuring proactive management of system resources.
How to Use MCP Monitor
- Installation: Begin by downloading the MCP Monitor from the official repository. Follow the installation instructions provided in the documentation to set it up on your system.
- Configuration: After installation, configure the tool to connect with your system's metrics. This may involve setting up the MCP interface and defining which metrics you wish to monitor.
- Monitoring: Once configured, you can start monitoring your system metrics in real-time. The dashboard will display various metrics, allowing you to analyze performance and identify potential issues.
- Integration with LLMs: If you are using LLMs, ensure that they are configured to communicate with MCP Monitor. This will enable them to retrieve system information as needed.
Frequently Asked Questions
Q: What is the Model Context Protocol (MCP)?
A: The Model Context Protocol (MCP) is a communication protocol that allows applications, particularly LLMs, to access and exchange contextual information about the system they are running on.
Q: Is MCP Monitor free to use?
A: Yes, MCP Monitor is an open-source tool, which means it is free to use and modify.
Q: Can I contribute to the MCP Monitor project?
A: Absolutely! Contributions are welcome. You can contribute by reporting issues, suggesting features, or submitting code improvements via pull requests on the official repository.
Q: How can I get support for MCP Monitor?
A: For support, you can visit the official chat at seekrays.com/chat or check the documentation provided in the repository for troubleshooting tips and guidance.
Q: What license does MCP Monitor use?
A: MCP Monitor is licensed under the Apache-2.0 license, allowing users to use, modify, and distribute the software under certain conditions.
Details
MCP System 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.

Features
This tool provides the following monitoring capabilities:
- CPU Information: Usage percentage, core count, and detailed CPU info
- Memory Information: Virtual and swap memory usage
- Disk Information: Disk usage, partitions, and I/O statistics
- Network Information: Network interfaces, connections, and traffic statistics
- Host Information: System details, uptime, boot time, and users
- Process Information: Process listing, sorting, and detailed per-process statistics
Available Tools
1. CPU Information
Tool: get_cpu_info
Description: Get CPU information and usage
Parameters:
- per_cpu (boolean, default: false): Whether to return data for each core
2. Memory Information
Tool: get_memory_info
Description: Get system memory usage information
Parameters: None
3. Disk Information
Tool: get_disk_info
Description: Get disk usage information
Parameters:
- path (string, default: "/"): Specify the disk path to query
- all_partitions (boolean, default: false): Whether to return information for all partitions
4. Network Information
Tool: get_network_info
Description: Get network interface and traffic information
Parameters:
- interface (string, optional): Specify the network interface name to query
5. Host Information
Tool: get_host_info
Description: Get host system information
Parameters: None
6. Process Information
Tool: get_process_info
Description: Get process information
Parameters:
- pid (number, optional): Process ID to get detailed information for a specific process
- limit (number, default: 10): Limit the number of processes returned
- sort_by (string, default: "cpu"): Sort field (cpu, memory, pid, name)
Installation
git clone https://github.com/seekrays/mcp-monitor.git
cd mcp-monitor
make build
Usage
Run the compiled binary:
./mcp-monitor
The server starts in stdio mode, ready to communicate with an MCP-compatible LLM client.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Server Config
{
"mcpServers": {
"mcp-monitor": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/metorial/mcp-container--seekrays--mcp-monitor--mcp-monitor",
"./out"
],
"env": {}
}
}
}