---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/wikipedia-lookup/use-cases/build-knowledge-bases/chatgpt
---
# How to Build Knowledge Bases with ChatGPT

ChatGPT transforms Wikipedia lookups into polished briefings tailored to your specific needs and audience. Ask about any topic and receive a clear, well-organized summary at the level of detail you specify -- from a one-paragraph fact check to a comprehensive background report with timelines, key figures, and significance context. The natural conversation format makes it easy to adjust scope on the fly, going broader for context or deeper into subtopics based on what you learn as the briefing develops.

## Setup

{"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}

## Steps

1. Configure ToolRouter in ChatGPT
2. Ask: "Search Wikipedia for key machine learning concepts using wikipedia-lookup"
3. ChatGPT finds relevant articles and pulls summaries
4. Request: "Compile these into a structured glossary with definitions and examples"
5. ChatGPT creates a formatted knowledge base document

## Example Prompt

```
Build a beginner-friendly AI/ML glossary from Wikipedia. Cover the top 20 concepts a new data scientist should know.
```

## Tips

- ChatGPT can rewrite Wikipedia content at different reading levels
- Ask for content organized by topic, difficulty, or learning path
- Request that all content includes proper Wikipedia attribution
