---
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/openclaw
---
# How to Build Knowledge Bases with OpenClaw

OpenClaw uses Wikipedia as a structured data extraction engine for teams that need reference information at scale. Batch-query entities, compile comparison datasets across dozens of topics, and build knowledge bases from Wikipedia content in a single systematic session. The structured output -- with consistent fields, formatting, and attribution -- is ready for direct import into internal wikis, training materials, application seed data, or research databases without the manual reformatting that ad-hoc lookups require.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Ask OpenClaw: "Search Wikipedia for articles about data privacy regulations using wikipedia-lookup"
3. OpenClaw finds relevant articles
4. Request: "Get full articles and compile key points into a reference document"
5. Use the compiled content as your knowledge base foundation

## Example Prompt

```
Build a data privacy knowledge base covering GDPR, CCPA, HIPAA, and SOC 2. Extract key requirements from each Wikipedia article.
```

## Tips

- Use on_this_day to add engaging historical context to your knowledge base
- Ask OpenClaw to highlight the most important facts from each article
- Structure the knowledge base by topic for easy navigation
