Building with LLMs

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Using AI to integrate OneBalance

OneBalance documentation is AI-enhanced. Whether you’re using ChatGPT, Claude, or a custom LLM integration, we’ve made it easy to feed OneBalance docs directly into your models and dev tools.

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LLM Feed Files

We expose two continuously updated files for AI ingestion:

• llms.txt - Concise list of top-level pages for quick context
• llms-full.txt - Complete documentation for full-context indexing

Use these URLs in your custom GPTs or LLM apps to ensure accurate OneBalance-specific answers.

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Plain Text Docs

Access any documentation page as markdown by adding .md to the URL. For example: /ai/building-with-llms.md

This helps AI tools consume content with:

• Fewer formatting tokens
• Complete content (including hidden tabs)
• Proper markdown hierarchy

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Code Editor Integration

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Cursor Setup

1. Navigate to Cursor Settings > Indexing & Docs
2. Select “Add Doc” and paste:
   Copy

   Ask AI

   https://docs.onebalance.io/llms-full.txt
   

3. Use @docs -> OneBalance to reference docs in your code

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MCP Server (Advanced)

For direct API access and documentation search within AI tools, set up our MCP server:

npx mint-mcp add onebalance-d7e5d4d0

This provides both documentation search and live OneBalance API functions directly in your AI tools.

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Contextual Features

We’ve enabled contextual features across all docs:

• Copy any page as Markdown
• Launch ChatGPT/Claude with page context preloaded
• Perfect for troubleshooting and code generation