DivLens
A real-time system diagnostics MCP server that gives AI agents live access to CPU, RAM, disk, network, processes, and hardware health metrics, with zero cloud dependency.
What is DivLens?
DivLens is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to real-time system diagnostics mcp server that gives ai agents live access to cpu, ram, disk, network, processes, and hardware health metrics, with zero cloud dependency.
A real-time system diagnostics MCP server that gives AI agents live access to CPU, RAM, disk, network, processes, and hardware health metrics, with zero cloud dependency.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A real-time system diagnostics MCP server that gives AI agen
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx divlens-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about DivLens
What is DivLens?
DivLens is a Model Context Protocol (MCP) server that real-time system diagnostics mcp server that gives ai agents live access to cpu, ram, disk, network, processes, and hardware health metrics, with zero cloud dependency. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install DivLens?
Follow the installation instructions on the DivLens GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with DivLens?
DivLens works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is DivLens free to use?
Yes, DivLens is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
DivLens Alternatives — Similar Monitoring & Observability Servers
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Sentrux
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OpenInference
★ 986OpenTelemetry Instrumentation for AI Observability
Browse More Monitoring & Observability MCP Servers
Explore all monitoring & observability servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up DivLens in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use DivLens?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.