AuthForge publishes a single, machine-readable documentation bundle at https://docs.authforge.cc/llms-full.txt. It contains the full docs site — SDK reference pages, public auth error codes, best practices, and integration guides — in one file. Point your AI agent at this URL (or paste the prompt below) and it can load everything it needs without you attaching files from GitHub. For a shorter index, see llms.txt. Cursor and other MCP-capable tools can also use the docs MCP server atDocumentation Index
Fetch the complete documentation index at: https://docs.authforge.cc/llms.txt
Use this file to discover all available pages before exploring further.
https://docs.authforge.cc/mcp to search and fetch pages on demand.
Integration prompt
Paste this into your AI tool with your project open. The agent should fetch the docs itself in Step 1 — you do not need to attachAGENTS.md or other reference files manually.
Supported AI tools
This workflow works with Cursor, GitHub Copilot, Claude Code, Windsurf, and any assistant that can fetch URLs or read attached context files. If your tool cannot fetch URLs at runtime, download llms-full.txt once and attach it to the session instead of relying on Step 1’s fetch.Tips for better results
- Open the right project before pasting the prompt so Step 2 can inspect your actual entry point, config, and UI patterns.
- Name your stack explicitly in a follow-up if it is ambiguous (for example ”.NET 8 WPF” or “Electron + React”).
- Ask for a plan first — the prompt already defers implementation until after Steps 1–2; keep that order if you iterate.
- Review error handling against the “Public auth errors” section in llms-full.txt before shipping; generated code often skips
hwid_mismatch,session_expired, and rate-limit paths. - Each official SDK repo also ships an
AGENTS.mdwith copy-paste patterns and a “Do NOT” checklist — useful as a second pass after the main integration.