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

# Building with AI

> Use AI coding assistants to build with peaq faster

# Building with AI

peaq documentation is optimized for AI coding assistants. Whether you're using
Claude, Cursor, GitHub Copilot, or other AI tools, you can reference our docs
directly for accurate information about the peaq SDK and APIs.

## LLM-Optimized Documentation

### llms.txt Files

peaq docs support the [llms.txt standard](https://llmstxt.org/), making our
documentation easily accessible to AI tools:

| File              | URL                                   | Description                              |
| ----------------- | ------------------------------------- | ---------------------------------------- |
| **llms.txt**      | `https://docs.peaq.xyz/llms.txt`      | Navigation structure with page summaries |
| **llms-full.txt** | `https://docs.peaq.xyz/llms-full.txt` | Complete documentation in plain text     |

These files are automatically kept in sync with our documentation.

### Copy a Single Page

Click the **Copy page** button at the top of any docs page to copy its contents
in a clean, AI-friendly format, then paste it directly into your AI assistant's
context window.

## Using Cursor

### MCP Server

Install the peaq docs MCP server for queryable access to our documentation
directly from Cursor, Claude Desktop, or any MCP-compatible client.

**One-click install for Cursor:**

```
npx @mintlify/mcp add docs.peaq.xyz
```

### Cursor @Docs

Add peaq docs as a context source in Cursor:

1. Open Cursor Settings → Features → Docs
2. Add `https://docs.peaq.xyz` as a documentation source
3. Reference it in any Cursor chat by typing `@Docs` and selecting peaq

## Using Claude

### Claude Projects

Create a dedicated Claude Project for peaq development:

1. Create a new project in [Claude](https://claude.ai)
2. Add `https://docs.peaq.xyz/llms-full.txt` as a knowledge source
3. Set custom instructions like *"Use the peaq documentation to answer questions
   about the peaq SDK and APIs"*

### Claude Code

Add the following to your `.mcp.json` for context-aware assistance in your terminal:

```json theme={"theme":{"light":"github-light-default","dark":"github-dark"}}
{
  "mcpServers": {
    "peaq-docs": {
      "url": "https://docs.peaq.xyz/mcp"
    }
  }
}
```

## Prompting Tips

When prompting any AI assistant about peaq:

* **Specify the SDK** — Clarify if you're using the JavaScript SDK or interacting
  directly with the API so the model generates the right patterns
* **Mention the function** — Be explicit about whether you're working with peaq ID,
  peaq access, peaq store, peaq verify, or UMT
* **Include chain context** — Mention if you're targeting mainnet or testnet to get
  accurate endpoints and config values
* **Paste the relevant page** — Use the **Copy page** button on specific docs pages
  and paste into your conversation for the most accurate results