How do I install MCP System Monitor?
Clone the repository from GitHub and run `make build`; Go toolchain is required to compile the binary.
@seekrays
基本信息
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 interface.
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP System Monitor is a system monitoring tool that exposes real-time system metrics via the Model Context Protocol (MCP), enabling LLMs to retrieve CPU, memory, disk, network, host, and process information through an MCP-compatible interface.
Clone the repository and run make build to compile the binary. Start the server in stdio mode by executing ./mcp-monitor. The server then communicates with an MCP-compatible LLM client.
Clone the repository from GitHub and run `make build`; Go toolchain is required to compile the binary.
Run the compiled binary `./mcp-monitor` in a terminal; it starts in stdio mode and waits for MCP communication.
Six tools: `get_cpu_info`, `get_memory_info`, `get_disk_info`, `get_network_info`, `get_host_info`, and `get_process_info`.
No configuration is mentioned in the README; the server runs with default settings and no environment variables are needed.

Hermoso is an AI marketing agent and AI ad generator you run from your AI agent: a remote MCP server that researches the ads already winning in your market, makes image and video ads and organic posts in your brand, publ
TestMu AI MCP Server lets developers run, debug, and triage tests through natural language directly from their IDE (Cursor, Claude, GitHub Copilot, and other MCP clients). It exposes five tools — HyperExecute (test orche

The tools your AI needs to make your games. Turn prompts into production-ready game assets — animated characters with their weapons attached, seamless textures, terrain, VFX, HUDs — and playable game kits Unity, Godot, U

Collide is the multiplayer layer for AI coding agents, and it pays for itself. Expert orchestration across every agent on your repo saves teams tens to hundreds of dollars a day in token burn. Run Claude Code, Codex, Cu

Remote MCP server for domain and website checks: DNS, WHOIS/RDAP, domain age, TLS, DNSSEC, email auth (SPF/DKIM/DMARC), blocklists, a trust verdict ("should my agent click, sign in to, or pay this site?"), availability +
评论