System Information
This MCP server provides real-time system monitoring and information retrieval capabilities through psutil, enabling AI assistants to access CPU usage, memory statistics, disk information, network status, running processes, and system uptime data. Built using Python with FastMCP and comprehensive caching for performance optimization, it offers seven specialized tools including per-CPU breakdowns, process filtering and sorting, temperature sensor readings when available, and configurable limits for resource-intensive operations. The implementation features cross-platform compatibility with graceful degradation for platform-specific features, security controls that filter sensitive command-line arguments, multiple transport options (stdio, SSE, HTTP), and environment-based configuration for cache TTL and process limits, making it valuable for system administration workflows, performance monitoring applications, and building AI assistants that need programmatic access to system metrics without manual monitoring tool navigation.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- iot-hardware
- Source
- PulseMCP
- Repository
- github.com/dknell/mcp-system-info
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve System Information 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--scope user for --scope project to commit it to .mcp.json.