Skip to main content
Glama
Pratyay

MacOS Resource Monitor MCP Server

by Pratyay

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_resource_intensive_processesA

Identify resource-intensive processes on macOS across CPU, memory, and network.

Returns: A string containing information about resource-intensive processes, which can be analyzed to provide optimization suggestions.

get_processes_by_categoryA

Get all processes filtered by category (cpu, memory, network) with pagination and sorting support.

Args: process_type: Type of processes to retrieve ('cpu', 'memory', or 'network') page: Page number (starting from 1, default: 1)
page_size: Number of processes per page (default: 10, max: 100) sort_by: Sort field - 'auto' (default metric), 'pid', 'command', or metric-specific fields CPU: 'auto'/'cpu_percent', 'pid', 'command' Memory: 'auto'/'memory_percent', 'resident_memory_kb', 'pid', 'command'
Network: 'auto'/'network_connections', 'pid', 'command' sort_order: Sort direction - 'desc' (default) or 'asc'

Returns: JSON string containing paginated and sorted process information for the specified category

get_system_overviewA

Get comprehensive system overview with aggregate statistics similar to Activity Monitor. Provides CPU, memory, disk, network statistics, and performance analysis to help identify bottlenecks and optimization opportunities.

Returns: JSON string containing system overview with performance metrics and analysis

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Pratyay/mac-monitor-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server