Cosmotop System Monitor MCP
Cosmotop MCP server enabling AI agents to monitor local system resources — querying CPU usage, memory consumption, disk I/O, running processes, and system health metrics, bringing system monitoring capabilities similar to htop/btop into agent-driven infrastructure and debugging workflows.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Local metrics only. No auth needed. No secrets. Community MCP. Process list exposure is informational risk.
⚡ Reliability
Best When
An agent needs real-time local system resource data — CPU, memory, processes — for debugging, performance analysis, or local infrastructure awareness.
Avoid When
You need remote server monitoring, historical metrics, or alerting — use Prometheus, Datadog, or Grafana MCPs instead.
Use Cases
- • Checking CPU and memory usage from resource monitoring agents
- • Identifying resource-hungry processes from performance debugging agents
- • Monitoring disk usage and I/O from capacity planning agents
- • Tracking system health metrics from infrastructure monitoring agents
- • Diagnosing performance bottlenecks from troubleshooting agents
- • Automating system resource reports from DevOps agents
Not For
- • Remote server monitoring (this is local-only)
- • Production infrastructure monitoring (use Prometheus, Datadog for prod)
- • Historical metrics and alerting (use dedicated monitoring stacks)
Interface
Authentication
No authentication — reads local system metrics via OS APIs. Runs with user-level privileges.
Pricing
Free, open source community MCP. Self-hosted locally.
Agent Metadata
Known Gotchas
- ⚠ Local-only — cannot monitor remote systems via this MCP
- ⚠ Privileged process info may be unavailable without elevated permissions
- ⚠ Community MCP — metric naming may differ from industry standards
- ⚠ High polling frequency can itself consume resources — use sparingly
- ⚠ Process names and PIDs can change between calls — handle transient state
- ⚠ macOS and Linux may return different metric structures
Alternatives
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Scores are editorial opinions as of 2026-03-07.