pulsemcp scanned Safe content atomic mcp-remote

System Monitor

This system monitoring MCP server provides real-time system metrics and performance data through Go-based tools that leverage the gopsutil library for cross-platform system information gathering. Built with a modular architecture featuring separate tools for CPU, memory, disk, network, and process monitoring, it offers configurable monitoring intervals and caching mechanisms to optimize performance while providing detailed system insights including CPU usage, memory statistics, top processes, network statistics, disk information, and comprehensive system overviews. The implementation includes JSON-based configuration management with customizable cache durations and monitoring settings, making it valuable for system administrators monitoring server performance, developers debugging resource usage issues, and AI assistants that need access to real-time system metrics for performance analysis and troubleshooting workflows.

Cognium trust score

64%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/xirichuyi/system-mcp
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve System Monitor from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"