MCPSERV.CLUB
crazyfrankie

SQL-Assistant

MCP Server

Automate SQL homework with AI-driven queries

Stale(50)
3stars
1views
Updated Aug 27, 2025

About

SQL-Assistant is an MCP server that exposes a suite of SQL homework methods to AI, enabling students to automatically retrieve problems, submit code, and iterate until completion, streamlining university SQL assignments.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

SQL‑Assistant in Action

Overview

SQL‑Assistant is a Model Context Protocol (MCP) service designed to automate the completion of SQL coursework on the 希冀 educational platform. By exposing a suite of tools—such as , , and —the server allows AI assistants to retrieve assignment details, generate SQL solutions, and submit them back to the university portal. This eliminates repetitive manual steps that students traditionally perform, freeing time for deeper learning and experimentation with real‑world SQL problems.

The server’s value lies in its seamless integration into existing AI workflows. Developers can plug it into any MCP‑compatible client (e.g., Claude Desktop, Gemini, or VS Code with the Cline plugin) and instruct an assistant to fetch a range of questions, iteratively generate code, submit answers, and handle retries on failure. Because the MCP server handles authentication, session management, and browser automation behind the scenes, users need only focus on high‑level prompts. This abstraction dramatically reduces friction for developers building tutoring bots, automated grading systems, or research tools that require interaction with web‑based SQL labs.

Key capabilities include:

  • Question retrieval () to pull problem statements and test cases from the portal.
  • Code injection () that injects AI‑generated SQL into the web editor.
  • Execution and feedback (, ) that triggers query execution and captures success or error messages.
  • Auto‑approval of non‑critical actions to streamline the workflow without compromising security.

Real‑world scenarios benefit from this architecture: a teaching assistant can deploy an AI tutor that automatically grades student submissions; a data science curriculum can provide instant, personalized SQL practice without manual grading; or an enterprise training program can generate compliance reports by feeding structured prompts to the assistant.

What sets SQL‑Assistant apart is its tight coupling with a specific educational platform. The server not only automates browser interactions but also manages session persistence and error handling unique to that site. This specialization means developers can achieve higher reliability with fewer custom scripts, while still maintaining full control over prompts and logic through the MCP interface.