pulsemcp verified Safe content atomic mcp-remote

System Monitor

MCP System Monitor provides real-time system metrics through a standardized interface, allowing LLMs to access detailed information about CPU, memory, disk, network, host, and process statistics. Built with Go using the gopsutil library, it exposes six specialized tools that retrieve system performance data in structured JSON format. The implementation is designed for cross-platform compatibility (Windows, macOS, Linux) and includes configurable parameters for customizing data retrieval, such as filtering processes by resource usage or viewing per-core CPU statistics. This server enables AI assistants to perform system diagnostics, resource monitoring, and performance analysis without requiring direct system access.

Cognium trust score

99%

Tier

Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/seekrays/mcp-monitor
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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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"