t-bence
MCP Servert-bencepublic

mcp cpu usage

Simple CPU usage tracker through MCP

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Python
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MIT License
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About This Server

Simple CPU usage tracker through MCP

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

databricks-mcp-client

This tool gives information about your Databricks workspace to a chat bot.

Based on MCP quickstart by Dan Liden: https://www.danliden.com/posts/20250412-mcp-quickstart.html

How to use

Follow the setup guide in the post: https://www.danliden.com/posts/20250412-mcp-quickstart.html

Modify claude_desktop_config.json to contain the following:

{
  "mcpServers": {
    "DatabricksServer": {
      "command": "/opt/homebrew/bin/uv",
      "args": [
        "run",
        "--with",
        "databricks-sdk",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "/Users/bencetoth/Documents/dev/mcp-cpu-usage/dbx_connector/server.py"
      ]
    }
  }
}

You will have to adjust the path to the project and to uv.

Then, create a file called .env based on .env.sample in the repo, and add the workspace url and a token for the workspace you want to use the tool with.

Quick Start

1

Clone the repository

git clone https://github.com/t-bence/mcp-cpu-usage
2

Install dependencies

cd mcp-cpu-usage
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownert-bence
Repomcp-cpu-usage
LanguagePython
LicenseMIT License
Last fetched8/10/2025

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