How do I get started with AI integration?
OneBalance offers multiple ways to integrate with AI tools. The easiest approach depends on your use case:- For general LLM integration: Use our LLM feed files (
llms.txt
andllms-full.txt
) - For code editors like Cursor: Add our documentation directly to your editor’s indexing
- For advanced API access: Set up our MCP server for live OneBalance API functions
What’s the difference between llms.txt and llms-full.txt?
We provide two different feed files for different use cases:llms.txt
- A concise, high-signal list of top-level documentation pages. Perfect for smaller models or when you need quick context building.llms-full.txt
- Complete documentation content including all pages. Ideal for full-context indexing and AI training.
How do I use OneBalance docs in my code editor?
For Cursor users:- Navigate to Cursor Settings > Indexing & Docs
- Select “Add Doc” and paste:
https://docs.onebalance.io/llms-full.txt
- Use
@docs -> OneBalance
to reference docs in your code
.md
to the URL (e.g., /getting-started/introduction.md
).
See the complete code editor integration guide.
What is the MCP server and how do I set it up?
The Model Context Protocol (MCP) server connects OneBalance’s documentation and API directly to your AI tools. It provides:- Documentation search across all OneBalance docs
- Live API access to OneBalance functions (balances, quotes, transactions, etc.)
- Direct integration with Cursor, Claude Desktop, and other MCP clients
https://docs.onebalance.io/mcp
in your AI tool.
The MCP server gives you documentation search and full OneBalance API access. Follow our complete MCP server setup guide for detailed instructions.