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
MCP
seekrays/mcp-monitor
Added 1 June 2026
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
How to use
Install
make build Tools exposed
get_cpu_infoget_memory_infoget_disk_infoget_network_infoget_host_infoget_process_info
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
Other entries in the index that connect to this one. Click through to see the chain.
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