Model Context Protocol low risk

Monitor

A system monitoring tool providing real-time CPU, memory, disk, network, host, and process information to LLMs via the Model Context Protocol (MCP).

Connections & Capabilities

Connects To

GitHubDiscord

Capabilities

read

Exposed MCP Tools (6)

safe

get_cpu_info

Retrieves CPU usage and core information.

Read-only access to CPU metrics.

safe

get_memory_info

Provides system memory usage details.

Read-only access to memory metrics.

safe

get_disk_info

Gathers disk usage and partition information.

Read-only access to disk metrics.

safe

get_network_info

Fetches network interface and traffic statistics.

Read-only access to network metrics.

safe

get_host_info

Obtains host system details and uptime.

Read-only access to host information.

safe

get_process_info

Lists running processes with details like CPU and memory usage.

Read-only access to process metrics.

Safety Assessment

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.

Read-only access to system metrics
No direct execution capabilities
Limited scope of information exposure
No authentication required, minimizing credential risks
Operates in stdio mode, reducing network exposure

Potential for information leakage if exposed to untrusted LLMs
Lack of authentication could allow unauthorized access in certain environments
Reliance on system-level permissions for data collection
No built-in rate limiting, potentially leading to resource exhaustion
Process information could expose sensitive details