Divlens
Give your agent live CPU, RAM, disk, network, and hardware health reads from the machine it is helping you run.
Overview
DivLens is an MCP server for the Operate phase that exposes 17 real-time CPU, RAM, disk, network, and hardware health diagnostic tools to AI agents.
What is this MCP server?
- 17 MCP tools for system diagnostics exposed to agents
- Covers CPU, RAM, disk, network, and hardware health signals
- Real-time reads suited to incident triage on a solo dev laptop or small server
- GitHub-backed divlens-mcp project (server v0.1.0)
- Agent-native alternative to piping shell stats manually each turn
- 17 diagnostic MCP tools
- Server version 0.1.0
- Repository: github.com/Lohithry/divlens-mcp
Community signal: 7 GitHub stars.
What problem does it solve?
Agents guess about machine bottlenecks because they cannot see live CPU, memory, disk, or network stats on the host you are troubleshooting.
Who is it for?
Solo builders operating their own laptop or small server who want agent-assisted health checks during perf or outage scares.
Skip if: Teams needing multi-host APM, long-term metrics warehouses, or security penetration tooling.
What do I get? / Deliverables
Your agent pulls current system diagnostics through MCP so recommendations are grounded in real hardware and OS metrics.
- Live diagnostic tool responses across CPU, RAM, disk, network, and hardware health
- Agent-grounded triage notes backed by current machine metrics
- Repeatable monitoring checks without custom shell scripts each session
Recommended MCP Servers
Journey fit
Production and local dev machines both need observability when things get slow or full; operate is the phase where you watch health signals, not ship features. Monitoring subphase is the canonical shelf for real-time diagnostics agents can query before you restart services or resize disks.
How it compares
Host diagnostics MCP server with 17 tools, not a cloud APM dashboard or log shipping integration.
Common Questions / FAQ
Who is DivLens for?
It is for developers and indie operators who want their coding agent to read live system stats on the machine they are fixing or tuning.
When should I use DivLens?
Use it during operate and monitoring when builds fail from resource exhaustion, disks fill up, or you need quick health snapshots before changing config.
How do I add DivLens to my agent?
Install divlens from the GitHub divlens-mcp project, add the MCP server to Claude Code or Cursor stdio config, and grant access to the host you want diagnosed.