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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: 
    https://docs.onebalance.io/llms-full.txt
  3. Use @docs -> OneBalance to reference docs in your code

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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.

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Self-Hosted MCP (Advanced)

For advanced users who prefer local setup: 
npx mint-mcp add onebalance-d7e5d4d0
Both options provide documentation search and live OneBalance API functions directly in your AI tools.

MCP Server Setup

Complete setup guide for Model Context Protocol integration

Example Prompts

Ready-to-use prompts to explore OneBalance capabilities

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