resource-mcp-monitor
Real-time system resource monitoring exposed as a Model Context Protocol (MCP) server.
Key Value Proposition
Gives AI agents instant, tool-native access to live system resource metrics with zero custom integration code.
Summary
resource-mcp-monitor is a Model Context Protocol (MCP) server that gives AI agents live visibility into system resources such as CPU, memory, disk, and process activity. Built for developers, ops engineers, and AI tooling builders, it lets LLMs query current machine health and resource usage through simple, standard MCP tool calls. Once configured and connected to an MCP-capable client, agents can fetch resource snapshots on demand without custom integration code.
Proof Points
- Exposes system resource metrics (CPU, memory, disk, processes) as callable MCP tools for LLM agents
- Standards-based Model Context Protocol implementation, enabling plug-and-play use with MCP-compatible clients
- Designed for monitoring workflows such as capacity checks, performance triage, and automated health reporting
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