System Information
by dknell
Monitor your machines in real time with our cloud based network monitoring system for CPU, memory, disk, and network ana
What it does
Provides real-time system monitoring data including CPU usage, memory, disk space, network stats, and running processes through a standardized interface.
About
System Information is a community-built MCP server published by dknell that provides AI assistants with tools and capabilities via the Model Context Protocol. Monitor your machines in real time with our cloud based network monitoring system for CPU, memory, disk, and network ana It is categorized under developer tools, analytics data.
How to install
You can install System Information in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
MIT
System Information is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Frequently Asked Questions
- What is the System Information MCP server?
- System Information is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for System Information?
- This profile displays 37 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.6★★★★★37 reviews- ★★★★★Hassan Jain· Dec 28, 2024
I recommend System Information for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Dec 8, 2024
We evaluated System Information against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ava Robinson· Dec 8, 2024
We evaluated System Information against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Oshnikdeep· Nov 27, 2024
System Information has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ava Srinivasan· Nov 27, 2024
System Information has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Min Nasser· Nov 3, 2024
System Information is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Dev Robinson· Oct 22, 2024
We wired System Information into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ganesh Mohane· Oct 18, 2024
According to our notes, System Information benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ava Iyer· Oct 18, 2024
According to our notes, System Information benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Benjamin Smith· Sep 25, 2024
We evaluated System Information against two servers with overlapping tools; this profile had the clearer scope statement.
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