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seekrays/mcp-monitor

by Various

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible

S

MCP

seekrays/mcp-monitor

Added 1 June 2026

#computer #mcp #mcp-server #monitor #monitoring #pc-monitor #system-monitoring

Overview

A Go-based system monitoring tool that exposes real-time system metrics through the Model Context Protocol (MCP). It enables LLMs to query CPU, memory, disk, and network statistics via an MCP-compatible interface.

Best for

Best for
Developers building MCP-based agents that need live system-level observability

Use cases

  • Letting an LLM assistant check server health during a debugging session
  • Providing real-time resource usage data to an AI agent for automated scaling decisions
  • Integrating system monitoring into MCP-based development workflows

Notes

A Go-based system monitoring tool that exposes real-time system metrics through the Model Context Protocol (MCP). It enables LLMs to query CPU, memory, disk, and network statistics via an MCP-compatible interface.

83 stars on GitHub. Last updated 2025-08-02. Licensed Apache-2.0.

Use cases

  • Letting an LLM assistant check server health during a debugging session
  • Providing real-time resource usage data to an AI agent for automated scaling decisions
  • Integrating system monitoring into MCP-based development workflows

Pros

  • Lightweight Go binary with minimal dependencies
  • Exposes standard system metrics via a standardized protocol
  • Simple to integrate into existing MCP toolchains

Cons

  • Limited to metrics the OS exposes (no application-level monitoring)
  • Requires an MCP-compatible client or host to be useful
  • Small community and limited documentation due to early stage

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight Go binary with minimal dependencies
  • Exposes standard system metrics via a standardized protocol
  • Simple to integrate into existing MCP toolchains

Cons

  • Limited to metrics the OS exposes (no application-level monitoring)
  • Requires an MCP-compatible client or host to be useful
  • Small community and limited documentation due to early stage

Pairs with

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