University Course Catalog MCP Server

University Course Catalog MCP Server

MCP server for a university course catalog backed by SQLite, providing course search, prerequisite lookup, instructor search, and course comparison tools.

Category
Visit Server

README

University Course Catalog MCP Server

This project implements an MCP server for a university course catalog, backed by SQLite and exposed over HTTP on port 8080.

What it provides

  • search_courses: search courses by keyword and optional department code.
  • get_prerequisites: fetch the direct prerequisites for a course code.
  • lookup_instructor: look up an instructor by name.
  • get_prerequisite_graph: return the full prerequisite dependency graph for a course.
  • course_descriptions: resource with all course descriptions.
  • department_directory: resource with all departments and codes.
  • course_comparison_template: prompt template for comparing two courses.

Project Layout

  • src/: application code.
  • data/catalog.db: seeded SQLite database.
  • data/seed.py: database seeding helper used for submission requirements.
  • Dockerfile: container build definition.
  • docker-compose.yml: local orchestration.

Run with Docker Engine

Docker Desktop is not required. Use a standard Docker Engine installation with the Compose plugin, or a compatible docker-compose CLI.

docker compose up --build

The server will be available at http://localhost:8080, and the health endpoint is http://localhost:8080/health.

Local Development

If you are not using Docker at all, you can run the server directly with Python:

python -m venv .venv
.venv\\Scripts\\activate
pip install -r requirements.txt
python -m src.seed
$env:PORT=8081
python -m src.main

If port 8080 is already in use, pick another free port with PORT and run python -m src.main again.

Example Queries

  • Search for programming courses in Computer Science.
  • Show prerequisites for CS350.
  • Look up instructor Dr. Ada Lovelace.
  • Compare CS101 and CS102.

MCP endpoint

The MCP ASGI app is mounted at /mcp.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured