# Overview

Printr provides first-class support for AI agent integration. Whether you're building autonomous trading bots, token deployment agents, or AI-powered tools, this section covers everything you need.

## llms.txt

Printr exposes a machine-readable context file for LLMs at:

```
https://printr.money/llms.txt
```

This file provides structured information about Printr's capabilities, API endpoints, and integration patterns optimized for AI consumption.

## Integration Options

### MCP Server

The [Printr MCP](/printr-docs/for-agents-new/printr-mcp.md) server gives AI agents direct access to token creation, wallet management, and chain operations through the Model Context Protocol.

```bash
npx @printr/mcp setup
```

### Agent Skills

For agent runtimes that support skills:

```bash
npx skills add PrintrFi/printr-mcp
```

### SDK

For programmatic integration, use the [@printr/sdk](/printr-docs/for-developers/printr-sdk.md) TypeScript library.

## Capabilities

AI agents connected to Printr can:

* **Create tokens** across 8+ chains (Solana, Base, Ethereum, BNB, Monad, Avalanche, Mantle, Arbitrum)
* **Generate images** for token avatars using AI
* **Manage wallets** with encrypted local storage
* **Query balances** and transfer tokens
* **Track deployments** and claim fees
* **Stake tokens** and claim rewards

## Security

* Private keys never leave the local machine
* Browser-based signing with MetaMask/Phantom
* AES-256-GCM encrypted keystore
* Session isolation with 30-minute TTL


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://printr.gitbook.io/printr-docs/for-agents-new/for-agents.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.