LLM Integration Guide

Documentation for AI assistants and LLMs on how to use Inliner.ai for image generation.

Machine-Readable Files

Following the llms.txt standard, we provide these files for AI systems:

URL Format

The core concept: describe an image in a URL, get back a generated image.

https://img.inliner.ai/{project}/{description}_{width}x{height}.{format}

Example:
https://img.inliner.ai/demo/happy-dog-playing-fetch_800x600.png

Integration Methods

• Direct URL — Use URLs directly in HTML/CSS
• MCP Server — For Claude Code, Cursor, Copilot, Gemini CLI
• CLI — npx @inliner/cli "sunset-beach-palm-trees_1200x600.png"
• REST API — Programmatic access via api.inliner.ai

Project-Specific Instructions

Users can get customized LLM instructions for their specific projects:

1. Log into the Inliner dashboard
2. Go to Projects
3. Click LLM Instructions on any project
4. Copy instructions optimized for Claude, Cursor, ChatGPT, etc.

These instructions include the user's namespace, custom prompts, and reference images.

Detailed Documentation

• MCP Server Setup Guide
• CLI Reference
• REST API Documentation
• Claude AI Integration
• Cursor AI Integration