> ## Documentation Index
> Fetch the complete documentation index at: https://docs.onebalance.io/llms.txt
> Use this file to discover all available pages before exploring further.

# FAQ: AI

> AI-focused FAQs covering how LLMs and MCP integrate with the OneBalance Toolkit for automated, AI-driven API interactions.

## 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](/ai/building-with-llms#llm-feed-files) (`llms.txt` and `llms-full.txt`)
* **For code editors like Cursor**: Add our documentation directly to your [editor's indexing](/ai/building-with-llms#code-editor-integration)
* **For advanced API access**: Set up our [MCP server](/ai/mcp-server-setup) for live OneBalance API functions

Start with the [Building with LLMs](/ai/building-with-llms) guide to explore all options.

## 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.

Both files are automatically updated and available at:

* [https://docs.onebalance.io/llms.txt](https://docs.onebalance.io/llms.txt)
* [https://docs.onebalance.io/llms-full.txt](https://docs.onebalance.io/llms-full.txt)

Learn more about [LLM feed files](/ai/building-with-llms#llm-feed-files).

## How do I use OneBalance docs in my code editor?

For **Cursor users**:

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

You can also access any documentation page as plain markdown by adding `.md` to the URL (e.g., `/getting-started/introduction.md`).

See the complete [code editor integration guide](/ai/building-with-llms#code-editor-integration).

## 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

**Quick setup:**
Simply connect to our hosted MCP server at `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](/ai/mcp-server-setup) for detailed instructions.

## Can I test the OneBalance API without my own key?

Yes! We provide a public API key for testing purposes with limited usage:

```
42bb629272001ee1163ca0dbbbc07bcbb0ef57a57baf16c4b1d4672db4562c11
```

You can use this key when setting up the [MCP server](/ai/mcp-server-setup) or making direct [API calls](/api-reference/introduction). This lets you explore OneBalance functionality before getting your own API key.

For production use, you'll need your own API key from your dashboard or by using the **Intercom chat widget** in the bottom right corner or contacting [support@onebalance.io](mailto:support@onebalance.io).