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A system monitoring tool providing real-time CPU, memory, disk, network, host, and process information to LLMs via the Model Context Protocol (MCP).
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A system monitoring tool providing real-time CPU, memory, disk, network, host, and process information to LLMs via the Model Context Protocol (MCP).
This tool is relatively safe for monitoring system metrics, as it primarily provides read-only access. However, care should be taken to limit access to trusted LLMs and monitor resource usage to prevent potential abuse. The risk is low in isolated environments, but increases if exposed to external or untrusted systems.
Performance depends on the frequency of metric polling and the system load. High polling rates can impact system performance. Consider adjusting polling intervals based on monitoring needs.
The primary cost is CPU and memory usage on the monitored system. Frequent polling will increase resource consumption. There are no external API costs.
get_cpu_infoRetrieves CPU usage and core information.
Read-only access to CPU metrics.
get_memory_infoProvides system memory usage details.
Read-only access to memory metrics.
get_disk_infoGathers disk usage and partition information.
Read-only access to disk metrics.
get_network_infoFetches network interface and traffic statistics.
Read-only access to network metrics.
get_host_infoObtains host system details and uptime.
Read-only access to host information.
get_process_infoLists running processes with details like CPU and memory usage.
Read-only access to process metrics.
None
hybrid
This tool is relatively safe for monitoring system metrics, as it primarily provides read-only access. However, care should be taken to limit access to trusted LLMs and monitor resource usage to prevent potential abuse. The risk is low in isolated environments, but increases if exposed to external or untrusted systems.
The tool operates in read-only mode by default, limiting the risk of unintended system modifications. However, ensure the LLM interacting with the tool is trusted to prevent information leakage.
Production Tip
Monitor resource usage of the mcp-monitor process itself to prevent it from becoming a bottleneck.
You can retrieve CPU, memory, disk, network, host, and process information.
The tool requires permissions to access system metrics, typically requiring root or equivalent privileges.
The frequency is controlled by how often the LLM client requests data. There is no built-in rate limiting.
It is generally safe as the tool is read-only, but be cautious about exposing sensitive process information.
No, this tool is designed for local system monitoring. You would need to run it on each system you want to monitor.
Since it uses stdio, secure the environment where both processes are running. Consider using secure containers or isolated environments.
Errors are propagated back to the LLM client through the MCP channel. Check client logs for details.