MCP Server Health Monitor
Enables LLMs to monitor server health through natural language, including HTTP endpoint checks, disk/memory/CPU usage, port status, and process listings.
README
MCP Server Health Monitor
An MCP (Model Context Protocol) server that lets LLMs monitor server infrastructure. Connect it to OpenCode, Claude Code, or any MCP-compatible client and ask natural language questions about your server's health.
What it does
Ask your LLM things like:
- "Is my web server responding?"
- "How much disk space do I have left?"
- "What processes are using the most memory?"
- "Is port 3306 open?"
Tools
| Tool | Description |
|---|---|
check_http_endpoint |
Check if a URL responds with 200 OK |
check_disk_usage |
Get disk space info |
check_memory_usage |
Get RAM and swap usage |
check_cpu_usage |
Get CPU utilization per core |
check_port |
Check if a TCP port is open |
list_processes |
List running processes with optional filtering |
Resources
| Resource | Description |
|---|---|
system://info |
OS, hostname, uptime |
system://health |
Aggregated health status |
Tech stack
- Python 3.12+
- MCP Python SDK v2
- psutil (system metrics)
- httpx (HTTP checks)
Setup
- Install dependencies:
uv sync
- Run the server:
uv run mcp-server-monitor
Or run directly:
uv run python -m mcp_server_monitor
Testing with MCP Inspector
uv run mcp dev src/mcp_server_monitor/server.py
This opens the MCP Inspector in your browser where you can call tools interactively.
Connecting to OpenCode
Add to your opencode.json:
{
"mcpServers": {
"server-monitor": {
"command": "uv",
"args": ["run", "--project", "C:\\Users\\nikol\\Documents\\mcp-server-monitor", "mcp-server-monitor"]
}
}
}
Running tests
uv run pytest
Project structure
src/mcp_server_monitor/
├── __init__.py Package metadata
├── __main__.py Entry point
├── server.py MCP server setup
├── tools/
│ ├── http.py HTTP endpoint checking
│ ├── system.py CPU, memory, disk
│ ├── network.py Port checking
│ └── processes.py Process listing
└── resources/
└── status.py System info and health
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.