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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.

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.

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

Code Editor Integration

Cursor Setup

  1. Navigate to Cursor Settings > Indexing & Docs
  2. Select “Add Doc” and paste:
    https://docs.onebalance.io/llms-full.txt
    
  3. Use @docs -> OneBalance to reference docs in your code

MCP Server Integration

Connect to OneBalance directly through our hosted MCP server at:
https://docs.onebalance.io/mcp
Simply add this URL to your AI tool (Claude, Cursor, etc.) for instant access to OneBalance documentation search and API functions directly in your AI tools.

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
The /llms.txt file follows an emerging standard for making websites more accessible to LLMs.
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