macOS Tools MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| system_performanceC | Monitor system performance and analyze resource usage |
| enhanced_searchC | Advanced file search with content analysis and tagging |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: enhanced_search focuses on file search and content analysis, while system_performance handles monitoring and resource usage analysis. There is no overlap in functionality, making it easy for an agent to choose the correct tool for each task.
Both tools use snake_case naming, which is consistent. However, with only two tools, it's difficult to assess a full pattern; enhanced_search uses an adjective+noun format, while system_performance uses noun+noun, showing minor deviation in structure but maintaining readability.
With only 2 tools, the server feels thin for a macOS Tools MCP Server, which suggests a broader scope. This limited set may not adequately cover common macOS operations like file management, system settings, or process control, making it under-scoped for its apparent purpose.
The tool surface has significant gaps for a macOS server. While search and performance monitoring are covered, there are no tools for basic operations like file manipulation, system configuration, or process management, which are typical in this domain. This incompleteness could lead to agent failures when handling common tasks.