J-Archive MCP Server

Overview

The J‑Archive MCP Server turns a classic television quiz into an interactive developer playground. By exposing the vast archive of Jeopardy! episodes through a Model Context Protocol interface, it lets AI assistants—such as GitHub Copilot or Claude—to fetch real‑world trivia data, simulate game rounds, and even generate custom prompts for educational or entertainment purposes. The server solves the problem of static quiz data by providing a live, queryable API that can be invoked directly from code editors, making it possible to build tooling around the game without handling raw HTML or scraping.

At its core, the server retrieves and serves Jeopardy! rounds—Jeopardy!, Double Jeopardy!, and Final Jeopardy!—from the J‑Archive database. Developers can request specific seasons, games, or categories, and the server returns structured JSON that includes questions, answers, dollar values, and clues. This data can be used to power AI-driven game assistants that guide a user through the classic board layout, calculate scores in real time, or generate practice quizzes for learning new topics. The value lies in turning a static archive into an interactive, programmable resource that can be seamlessly integrated into IDE workflows.

Key capabilities include:

• Round simulation: Play through any of the three traditional Jeopardy! rounds with proper scoring logic.
• Season & game filtering: Retrieve questions from particular seasons or individual episodes, enabling focused study or themed challenges.
• Single‑player mode: Adapt the game for solo use, making it ideal for developers who want a quick trivia break or a teaching aid.
• MCP integration: Exposes resources, tools, and prompts that can be called by AI assistants, allowing conversational agents to answer trivia questions or explain concepts on demand.

Real‑world use cases span educational tools, interview preparation kits, and developer productivity hacks. For instance, a learning platform could use the server to generate quizzes on technical topics by mapping Jeopardy! categories to curriculum subjects. A chatbot could act as a quizmaster, prompting users with questions and validating answers in real time. In a code review setting, an AI assistant might fetch trivia about programming languages to lighten the mood before diving into complex discussions.

Integrating with AI workflows is straightforward: once the MCP server is running, developers add a single configuration entry in their editor’s settings. From there, AI assistants can invoke the server’s tools to pull questions, display them in a conversational UI, and even suggest related resources. The server’s lightweight Node.js implementation ensures minimal overhead, while its adherence to MCP standards guarantees compatibility with any compliant client. Overall, the J‑Archive MCP Server provides a unique blend of nostalgia and utility, turning a beloved game show into a versatile resource for developers and AI assistants alike.