Pratyay/mac-monitor-mcp
by Various
π π π - Identifies resource-intensive processes on macOS and provides performance improvement suggestions.
MCP
Pratyay/mac-monitor-mcp
Added 1 June 2026
Overview
Pratyay/mac-monitor-mcp is a Python-based MCP server that identifies resource-intensive processes on macOS and offers performance improvement suggestions. It runs locally and integrates with AI assistants via the Model Context Protocol, allowing natural language queries about system resource usage.
Best for
Best for
Developers who want conversational macOS performance diagnostics via AI assistants
Use cases
- Ask an AI assistant to find processes using high CPU or memory on your Mac
- Get performance tuning suggestions for specific applications
- Monitor system health during development sessions
How to use
Install
uv tool install git+https://github.com/Pratyay/mac-monitor-mcp.git Tools exposed
get_resource_intensive_processesget_processes_by_categoryget_system_overview
Notes
Pratyay/mac-monitor-mcp is a Python-based MCP server that identifies resource-intensive processes on macOS and offers performance improvement suggestions. It runs locally and integrates with AI assistants via the Model Context Protocol, allowing natural language queries about system resource usage.
21 stars on GitHub. Last updated 2026-03-30.
Use cases
- Ask an AI assistant to find processes using high CPU or memory on your Mac
- Get performance tuning suggestions for specific applications
- Monitor system health during development sessions
Pros
- Provides actionable, specific suggestions rather than just raw metrics
- Lightweight Python implementation easy to install and configure
- Integrates directly with MCP-compatible AI tools for conversational diagnostics
Cons
- macOS only, no Linux or Windows support
- Read-only analysis with no ability to kill or manage processes
- Requires an MCP client (e.g., Claude Desktop) to be useful
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides actionable, specific suggestions rather than just raw metrics
- Lightweight Python implementation easy to install and configure
- Integrates directly with MCP-compatible AI tools for conversational diagnostics
Cons
- macOS only, no Linux or Windows support
- Read-only analysis with no ability to kill or manage processes
- Requires an MCP client (e.g., Claude Desktop) to be useful
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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