Patient Data MCP Server
Enables querying a synthetic patient dataset with tools to look up patients by ID, age, disease, name, and get statistics, connecting Claude Desktop to local data.
README
🏥 Patient Data MCP 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! 💡
🛠️ Features
This server currently provides 6 powerful tools to Claude:
- 🔍
get_patient_by_id— Look up a specific patient record. - 🎂
list_patients_above_age— Find older patients based on an age threshold. - 🦠
find_patients_by_disease— Search for patients by their diagnosis (e.g., Asthma, Diabetes). - 📋
list_all_diseases— See all unique diseases present in the dataset. - 👤
search_patients_by_name— Quickly find someone by their partial or full name. - 📈
get_patient_statistics— Receive a beautiful statistical breakdown of the dataset.
🖥️ 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
- macOS/Linux:
- 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!
- Open your Claude Desktop config file:
- Windows:
%APPDATA%\Claude\claude_desktop_config.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
- Add the following JSON configuration. Make sure to update the
--directorypath 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! 💬
- Restart Claude Desktop (fully quit from the system tray and reopen).
- Look for the little 🔨 (Hammer) icon in the chat bar. You should see the
patient-data-serverfeatures loaded! - Try asking:
- "What are the most common diseases in the patient database?"
- "Can you find patients with Hypertension?"
- "Get patient by ID 42"
🌱 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! 🎉
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