OpenEdu MCP Server

What is OpenEdu MCP Server?

A comprehensive Model Context Protocol (MCP) server that provides educational resources and supports curriculum planning for educators. It integrates with four educational APIs (Open Library, Wikipedia, Dictionary, arXiv) to deliver books, articles, definitions, and research papers with intelligent filtering and grade-level appropriateness.

How to use OpenEdu MCP Server?

Install Python 3.9+, clone the repository, install dependencies (pip install -r requirements.txt), create a .env file from .env.example, then run python -m src.main. The server exposes 21+ MCP tools accessible via standard I/O, HTTP (POST /mcp with JSON-RPC), or SSE (GET /events). Integration with AI‑assisted coding tools is supported by configuring them to start the server.

Key features of OpenEdu MCP Server

• Complete API integration: Open Library, Wikipedia, Dictionary, arXiv
• Grade‑level filtering (K‑2, 3‑5, 6‑8, 9‑12, College)
• Subject classification and curriculum alignment (Common Core, NGSS)
• SQLite‑based intelligent caching with TTL support
• Built‑in rate limiting and usage analytics
• Robust error handling with educational context preservation

Use cases of OpenEdu MCP Server

• Educators searching for grade‑appropriate books and articles for lesson planning
• Curriculum alignment with subject‑classified resources and standards support
• Vocabulary analysis and language learning with grade‑level definitions
• Academic paper discovery and research trend analysis for teaching materials
• Real‑time server monitoring and performance tracking via SSE events

FAQ from OpenEdu MCP Server

What APIs does OpenEdu MCP Server integrate with?

It integrates with Open Library, Wikipedia, Dictionary (vocabulary), and arXiv (academic papers).

What are the prerequisites to run the server?

Python 3.9 or higher and the pip package manager are required.

How can I test the installation?

Run python run_validation_tests.py or execute unit/integration/performance tests with pytest.

Does the server support caching and rate limiting?

Yes. It uses SQLite‑based caching with configurable TTL and has built‑in rate limiting to respect API quotas.

How are grade levels handled?

Content can be filtered by grade levels: K‑2, 3‑5, 6‑8, 9‑12, and College.