How to Build Knowledge Bases with OpenClaw
Build knowledge bases from Wikipedia with OpenClaw and ToolRouter. Curated reference content.
Tool
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.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Wikipedia Lookup tool:
- Ask OpenClaw: "Search Wikipedia for articles about data privacy regulations using wikipedia-lookup"
- OpenClaw finds relevant articles
- Request: "Get full articles and compile key points into a reference document"
- Use the compiled content as your knowledge base foundation
Example Prompt
Try this with OpenClaw using the Wikipedia Lookup tool
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