MCP Student Assistant
Provides tools for querying student data (marks, attendance, pending assignments, timetable) stored in a MySQL database.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Student AssistantWhat's my attendance percentage?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Student Assistant
A beginner-friendly real-world mini project using Model Context Protocol (MCP) + Python + MySQL.
What it does
The MCP server exposes database operations as tools:
get_student_marksget_attendanceget_pending_assignmentsget_timetable
A client connects to the MCP server, discovers the tools, and calls them.
Related MCP server: College AI Assistant
Architecture
Student -> MCP Client -> MCP Server -> MySQL -> MCP Response
Tech Stack
Python
MCP Python SDK
MySQL
VS Code
Git/GitHub
1. Create virtual environment
Windows PowerShell
python -m venv .venv
.venv\Scripts\Activate.ps1macOS/Linux
python3 -m venv .venv
source .venv/bin/activate2. Install packages
pip install -r requirements.txt3. Configure MySQL
Create the database and sample data:
mysql -u root -p < database/student.sqlOr open database/student.sql in MySQL Workbench and run it.
Copy .env.example to .env and set your MySQL password.
4. Run the demo client
python client/ai_client.pyYou should see the available MCP tools and a sample attendance result.
5. GitHub
git init
git add .
git commit -m "Initial MCP Student Assistant project"
git branch -M main
git remote add origin YOUR_GITHUB_REPOSITORY_URL
git push -u origin mainImportant
Do not commit .env. It is already included in .gitignore.
Future upgrades
Connect an LLM to the MCP client for natural-language questions.
Add a web UI.
Add authentication.
Add teacher/admin tools.
Add assignment reminders.
This server cannot be deployed
Maintenance
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