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 (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.

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.