System Resource Monitor MCP Server

System Resource Monitor MCP Server is an MCP server that provides AI assistants like Claude with real-time visibility into local host performance and operating system statistics. It connects directly to hardware and OS telemetry via the systeminformation library alongside multi-source network testing utilities. Developers, system administrators, and power users employ this server to inspect local computing environments through natural language conversations. The integration exposes six monitoring tools covering CPU utilization, memory distribution, primary storage consumption, network interface transfer rates, battery health, and active internet bandwidth. Users can query their host machine directly from an MCP client to diagnose performance bottlenecks, observe memory leaks during development builds, or check network throughput without leaving their conversational interface. All metrics return straightforward text summaries, including core-by-core processor loads, drive usage numbers in gigabytes, and upload and download speeds derived from real-world transfer tests, enabling agents to reason over machine state.

Category: Cloud & Infrastructure

Tags: cpu, disk, memory, monitoring, network, system-stats

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How to install and configure System Resource Monitor MCP Server

1. Clone the repository locally: bash git clone git@github.com:abhinav7895/system-mcp.git 2. Navigate into the project folder and install dependencies: bash cd system-resource-monitor && npm install 3. Build the TypeScript files to generate the production executable: bash npm run build 4. Open your Claude Desktop configuration file (claude_desktop_config.json) and register the server: json { "mcpServers": { "system-resource-monitor": { "command": "node", "args": ["/absolute/path/to/dist/index.js"] } } } Replace /absolute/path/to/dist/index.js with your absolute local path.

What you can do with System Resource Monitor MCP Server

• Checking real-time CPU utilization across individual processor cores to diagnose local software hangs or compute spikes. - Inspecting available system memory in gigabytes during memory-intensive local workflows like Docker builds or data processing. - Monitoring disk capacity on primary drives before initiating heavy downloads, media imports, or application installations. - Measuring live internet download and upload transfer rates using multi-source network speed tests through natural language. - Querying portable device battery status, including charge percentage and remaining time, while running unattended laptop sessions.

Key facts

• Open Source
• https://github.com/abhinav7895/system-mcp
• Cloud & Infrastructure, Monitoring & Observability
• cpu, disk, memory, monitoring, network, system-stats

Part of MCP Servers

What is System Resource Monitor MCP Server?

System Resource Monitor MCP Server is a Model Context Protocol service that connects Claude Desktop to your local computer metrics. It gathers real-time statistics regarding CPU usage, RAM utilization, storage capacity, network throughput, battery charging status, and internet speed using system-level libraries.

How do I install System Resource Monitor MCP Server?

Clone the repository from GitHub, run npm install inside the project directory, and compile the source using npm run build. Then, add the resulting dist/index.js file path to the mcpServers block in your Claude Desktop configuration file under the node command.

What tools are included in System Resource Monitor MCP Server?

The server includes six distinct tools: get_cpu_usage for overall and per-core processor metrics, get_memory_usage for RAM statistics, get_disk_space for main drive volume, get_network_usage for data transfer rates, get_battery_status for laptop power, and get_internet_speed for bandwidth tests.

Is System Resource Monitor MCP Server open source?

Yes, System Resource Monitor MCP Server is open source software. It is distributed under the terms of the MIT License, which permits free use, modification, and redistribution.