Patient Data Server

Welcome to the Patient Data MCP (Model Context Protocol) Server project! 🚀

This is a beginner-friendly project showing how to connect Claude Desktop to your own local Python data sources. It lets you chat with a synthetic patient dataset containing 200 health records. 🧑‍⚕️📊

If you are a student or developer wanting to learn how to bridge LLMs with real-world databases, this is a perfect starting point! 💡

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🛠️ Features

This server currently provides 6 powerful tools to Claude:

1. 🔍 get_patient_by_id — Look up a specific patient record.
2. 🎂 list_patients_above_age — Find older patients based on an age threshold.
3. 🦠 find_patients_by_disease — Search for patients by their diagnosis (e.g., Asthma, Diabetes).
4. 📋 list_all_diseases — See all unique diseases present in the dataset.
5. 👤 search_patients_by_name — Quickly find someone by their partial or full name.
6. 📈 get_patient_statistics — Receive a beautiful statistical breakdown of the dataset.

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🖥️ Getting Started

1️⃣ Prerequisites

You will need a few things installed on your machine:

• Python 3.10+ (🐍)
• uv (⚡ A blazing fast Python package runner). Install it via terminal:
  • macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh
  • Windows: irm https://astral.sh/uv/install.ps1 | iex
• Claude Desktop App (🤖)

2️⃣ Clone the Repository

Download the code to your computer:

git clone https://github.com/asanm11611622ubca006/First-MCP-server.git
cd First-MCP-server

(Optional) Run python generate_dataset.py if you ever want to regenerate the randomized patients.csv file!

3️⃣ Connect to Claude Desktop! 🔌

You don't need to run the server in your terminal. Claude will automatically run it in the background!

1. Open your Claude Desktop config file:
   • Windows: %APPDATA%\Claude\claude_desktop_config.json
   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
2. Add the following JSON configuration. Make sure to update the --directory path to where you saved the code on your computer!

{
  "mcpServers": {
    "patient-data-server": {
      "command": "uv",
      "args": [
        "--directory",
        "YOUR_FULL_PATH_HERE\\First_MCP_server", 
        "run",
        "patient_server.py"
      ]
    }
  }
}

(⚠️ Windows users: Remember to use double backslashes \\ in path names!)

4️⃣ Start Chatting! 💬

1. Restart Claude Desktop (fully quit from the system tray and reopen).
2. Look for the little 🔨 (Hammer) icon in the chat bar. You should see the patient-data-server features loaded!
3. Try asking:
   • "What are the most common diseases in the patient database?"
   • "Can you find patients with Hypertension?"
   • "Get patient by ID 42"

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🌱 Learning & Contributing

This project is an awesome way to learn how the Model Context Protocol works. You can easily open patient_server.py and modify it.

Try adding a new tool to find patients by gender, or swap out the CSV parsing for an SQL database! 👩‍💻👨‍💻

Happy coding! 🎉