System Health MCP Server

What does “System Health” MCP Server do?

The System Health MCP Server is a robust monitoring tool built on the Multi-Channel Protocol (MCP) framework. It connects AI assistants, such as Claude, to remote Linux servers, providing real-time health and performance metrics. The server collects comprehensive system data—including CPU, memory, disk, network, and security metrics—through SSH connections. By exposing these insights and controls to AI clients, it enables automated monitoring, threshold-based alerts, and quick responses to critical system conditions. Its integration with MCP allows developers and operators to streamline infrastructure management, automate system health checks, and interact with live server data directly from their development workflows.

List of Prompts

No information about available or defined prompt templates is provided in the repository or documentation.

List of Resources

No explicit details about MCP Resources exposed by the server are provided in the available documentation.

List of Tools

No direct list of tools or details from server.py about MCP tools are provided in the available documentation.

Use Cases of this MCP Server

• Remote Infrastructure Monitoring: Enables real-time tracking of CPU, memory, disk, and network usage across multiple Linux servers to ensure uptime and performance.
• Automated Security Auditing: Monitors for failed login attempts, suspicious processes, and pending security updates, helping to maintain a secure server environment.
• Threshold-based Alerting: Automatically detects and reports critical system states (e.g., disk full, high CPU load), so operators can take immediate action.
• Integration with AI Assistants: AI agents like Claude can directly query server health, receive alerts, and even trigger remediation workflows.
• Multi-Server Management: Centralizes the monitoring of multiple remote servers in one MCP instance, streamlining operations for administrators and DevOps teams.

How to set it up

Windsurf

No setup instructions for Windsurf are provided in the documentation.

Claude

1. Ensure you have Python 3.10+ and install all dependencies:

   pip install -r requirements.txt
   

2. Locate your Claude MCP configuration file.
3. Add the System Health MCP Server entry to the mcpServers object:

   {
     "mcpServers": {
       "system-health": {
         "command": "/path/to/your/venv/bin/python3",
         "args": [
           "/path/to/your/system-health-mcp-server/src/mcp_launcher.py", 
           "--username=your_ssh_username", 
           "--password=your_ssh_password",
           "--key-path=~/.ssh/id_rsa",
           "--servers=server1.example.com,server2.example.com", 
           "--log-level=debug"
         ],
         "description": "System Health MCP Server for monitoring remote servers"
       }
     }
   }
   

4. Restart Claude to apply changes.
5. Verify the server is running and accessible by issuing a test command or checking logs.

Securing API Keys

Although the System Health MCP Server primarily uses SSH credentials, you should secure sensitive information using environment variables. Example:

{
  "mcpServers": {
    "system-health": {
      "env": {
        "SSH_USERNAME": "your_ssh_username",
        "SSH_KEY_PATH": "/path/to/key"
      },
      "inputs": {
        "servers": "server1.example.com,server2.example.com"
      }
    }
  }
}

Cursor

No setup instructions for Cursor are provided in the documentation.

Cline

No setup instructions for Cline are provided in the documentation.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "system-health": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “system-health” to your actual MCP server name and replace the URL accordingly.

Overview

Based on the available documentation, the System Health MCP Server offers a solid monitoring solution with clear use cases and setup for Claude, but lacks detail on MCP prompts, resources, tools, roots, or sampling. It is suitable for developers needing system health integration but would benefit from expanded documentation.

MCP Score

Rating: 4/10
The MCP server provides core functionality and clear setup for Claude, but lacks MCP-specific features like tools, resources, prompts, and broader platform docs, limiting its extensibility and discoverability.