🖥️ PC Health Checker Assistant using MCP

An AI-powered PC Health Assistant built using the Model Context Protocol (MCP), LangChain, and Google Gemini. Developed a MCP server from scratch using the official Python MCP SDK to enable AI-agent interaction with local system resources, demonstrating the complete MCP client-server architecture.

Quick Preview

Project Objective

The objective of this project is to demonstrate how an AI agent can communicate with a custom-built MCP Server to access operating system information through standardized tools.

This project serves as a beginner-friendly implementation of:

• Model Context Protocol (MCP)

• MCP Server

• MCP Client

• LangChain Agents

• Gemini Tool Calling

• AI + System Integration

Technology Stack

Features

• Check CPU Usage

• Check Memory Usage

• Check Disk Usage

• Retrieve Operating System Information

• Natural Language Interaction

• Custom MCP Server built from scratch

• LangChain Agent integrated with Gemini

• Modular architecture

Project Architecture

                         User
                           │
                           ▼
                 Natural Language Query
                           │
                           ▼
                      main.py
                           │
                           ▼
                LangChain Agent
                           │
                           ▼
                  Google Gemini
                           │
          Chooses Appropriate Tool
                           │
                           ▼
               LangChain Tool Wrapper
                           │
                           ▼
                     MCP Client
                           │
═══════════════════════════════════════
          Model Context Protocol
═══════════════════════════════════════
                           │
                           ▼
                     MCP Server
                           │
                           ▼
                  System Tools
                           │
                           ▼
              psutil / platform
                           │
                           ▼
                  Operating System

Example Conversation

User

Show me the operating system information.

Assistant

Operating System : Linux

OS Version : 7.0.0-28-generic

Architecture : x86_64

CPU Cores : 2

Logical Processors : 4

Python Version : 3.12.3

Learning Outcomes

By completing this project I have understand:

• What is Model Context Protocol (MCP)

• How MCP Server works

• How MCP Client communicates with an MCP Server

• How LangChain integrates with MCP

• How Gemini performs tool selection

• Building AI agents with external tools

• Designing modular AI architectures

Installation

Clone the Repository

git clone https://github.com/Parisa-Reza/PC-health-checking-MCP.git

cd PC-health-MCP

Create Virtual Environment

Linux

python3 -m venv venv

source venv/bin/activate

Install Dependencies

pip install -r requirements.txt

Create Environment File

Create a file named

.env

Add your Gemini API key.

Running the Project

Run the application.

python main.py

Example:

You:

How much CPU am I using?

License

This project is intended for educational and learning purposes.