For AI Tools (llms.txt)
LinkForty provides machine-readable documentation files designed for AI coding assistants. If you're using tools like Claude, ChatGPT, Cursor, Windsurf, GitHub Copilot, or any LLM-powered coding tool, these files give your AI everything it needs to integrate LinkForty into your project.
The LinkForty MCP server connects your AI assistant directly to your workspace with 20 tools for managing links, querying analytics, and more — no copy-pasting needed. The files below are for giving AI tools read-only reference material; the MCP server gives them live, authenticated access to your data.
Available Files
llms.txt — Quick Reference
A lightweight table of contents with links to every documentation page and a one-line description of each.
URL: https://docs.linkforty.com/llms.txt
Best for: AI tools that can follow links, or when you want to point your assistant to a specific topic.
Size: ~2 KB
llms-full.txt — Complete Integration Reference
A single, self-contained file with everything needed to integrate LinkForty — API reference with request/response examples, all four mobile SDK guides with complete code, platform setup instructions, and common patterns.
URL: https://docs.linkforty.com/llms-full.txt
Best for: Pasting into an AI chat, adding to a project context file, or any situation where the AI needs comprehensive information in one shot.
Size: ~60 KB
How to Use These Files
With Claude Code or Cursor
Add the full reference to your project context so the AI always has it available:
# Download to your project
curl -o LINKFORTY.md https://docs.linkforty.com/llms-full.txt
Then reference it in your .cursorrules, CLAUDE.md, or equivalent project instructions file:
When integrating LinkForty, refer to LINKFORTY.md for the complete API
and SDK reference.
With ChatGPT, Claude Chat, or Similar
Copy the contents of llms-full.txt and paste it into your conversation, then ask the AI to integrate LinkForty. For example:
Here is the LinkForty integration reference: [paste llms-full.txt]
I'm building a React Native app with Expo Router. Add LinkForty deep linking so that shared product links open the product screen.
With GitHub Copilot
Add the file to your repository so Copilot indexes it:
curl -o docs/LINKFORTY_REFERENCE.md https://docs.linkforty.com/llms-full.txt
In CI/CD or Automation
Fetch the latest reference programmatically:
curl -s https://docs.linkforty.com/llms-full.txt
What's Inside llms-full.txt
The complete reference covers:
| Section | What It Contains |
|---|---|
| Overview | What LinkForty does, Cloud vs Core, key concepts |
| Authentication | API key setup, Bearer token format, public vs authenticated endpoints |
| API Reference | Create/Get/Update/Delete links, analytics, SDK endpoints, webhooks — with cURL and JavaScript examples |
| React Native SDK | Installation, types, init, deep links, deferred deep links, events, link creation, complete app example |
| Expo SDK | Installation, types, init, deep links, offline event queue, complete Expo Router example |
| iOS SDK (Swift) | SPM/CocoaPods install, types, init, SwiftUI example, UIKit example, Universal Links setup |
| Android SDK (Kotlin) | Gradle install, types, init, Activity example, Jetpack Compose example, App Links setup |
| Platform Setup | Universal Links (AASA), App Links (assetlinks.json), SHA-256 fingerprints |
| Common Patterns | Share flows, server-side link creation (Node.js, Python, Go), webhook verification, testing deep links |
| Quick Reference | SDK method comparison table, endpoint summary, package names |
Every code example is complete and runnable — no fragments, no external dependencies on other sections.
About the llms.txt Standard
llms.txt is an emerging convention for providing LLM-friendly documentation, similar to how robots.txt guides web crawlers and sitemap.xml guides search engines. It places structured, AI-optimized content at a well-known URL so that AI tools and agents can discover and use it.