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Windows Server MCP

by TechGOELogy
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Python
Local

Windows Server MCP

Windows Server MCP is a local Model Context Protocol server for read-only Windows observability. It exposes CPU, memory, storage, service, and health tools through FastMCP.

Current version: 1.0.0.

Tools

Tool

Purpose

health_check

Server health, Python runtime, and platform details.

hello_world

Normalized compatibility connectivity check.

cpu_info

CPU counts, utilization, frequency, load, stats, and times.

memory_info

Virtual memory and swap details with byte-based values.

storage_info

Disk partitions, byte usage totals, and disk I/O counters.

services

Windows services with optional filters and compact defaults.

service

Detailed information for one Windows service.

All tools return a consistent shape:

{
  "data": {},
  "errors": [],
  "meta": {
    "timestamp": "2026-08-17T00:00:00+00:00",
    "source": "psutil",
    "tool": "tool_name"
  }
}

Related MCP server: Windows MCP Server

Requirements

  • Windows

  • Python 3.10+

Install

python -m venv .venv
.\.venv\Scripts\activate
pip install -r requirements.txt

Run

.\.venv\Scripts\activate
python main.py

The server runs at:

http://127.0.0.1:8080/mcp

Test With MCP Inspector

Start the server, then run:

npx @modelcontextprotocol/inspector --server-url http://127.0.0.1:8080/mcp --transport http

You can also use CLI mode:

npx @modelcontextprotocol/inspector --cli http://127.0.0.1:8080/mcp --transport http --method tools/list

Run Tests

.\.venv\Scripts\python.exe -m unittest discover -s tests -v

Example Tool Arguments

Call cpu_info with a shorter sample interval:

{
  "interval_seconds": 0.5
}

List only running services:

{
  "status": "running"
}

List services with detailed fields:

{
  "include_details": true,
  "limit": 25
}

Include all disk partitions:

{
  "all_partitions": true
}

License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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