System Information 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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_cpu_info_toolA | Retrieve CPU usage and information. Args: interval: Measurement interval in seconds (default: 1.0) per_cpu: Include per-CPU core breakdown (default: false) |
| get_memory_info_toolA | Retrieve memory usage statistics. |
| get_disk_info_toolB | Retrieve disk usage information. Args: path: Specific path to check (default: all mounted disks) |
| get_network_info_toolA | Retrieve network interface information and statistics. |
| get_process_list_toolA | Retrieve list of running processes. Args: limit: Maximum number of processes to return (default: 50) sort_by: Sort criteria - cpu, memory, name, pid (default: cpu) filter_name: Filter processes by name pattern |
| get_system_uptime_toolA | Retrieve system uptime and boot information. |
| get_temperature_info_toolB | Retrieve system temperature sensors (when available). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| system_overview | A comprehensive system overview resource. |
| system_processes | Current process list resource. |
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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/dknell/mcp-system-info'
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