Docs for AI (MCP / llms.txt)¶
You can connect the INCY documentation to AI assistants (Claude Code, Codex, Cursor, etc.) so they automatically pull the current subscription formats, headers, deep links, and Premium API — and write your integration faster and more correctly, with no manual copy-paste.
There are two ways: an MCP server (a tool for the AI) and llms.txt (a machine-readable index).
Option 1. MCP via GitMCP (recommended)¶
GitMCP is a free, public MCP server that reads documentation straight from our GitHub repository. Nothing to install — just add the URL.
Server URL:
Claude Code¶
Cursor / Codex / other clients¶
Add the server to the client's MCP config:
Once connected, the AI gets tools to search and read the INCY docs. For example, given "build an integration: hide the subscription URL and add a banner", the assistant will find the hide-url and banner-text headers in the docs and apply them correctly.
Option 2. llms.txt¶
For tools that support the llms.txt standard, we publish two files:
| File | Contents |
|---|---|
llms.txt |
Index: every documentation section with links and a short description |
llms-full.txt |
The entire documentation in one file (full text) |
Just give the assistant the https://docs.incy.cc/llms-full.txt link and it gets the whole documentation at once.
What you can ask the AI¶
- "Which subscription HTTP headers does INCY support, and what does each one do?"
- "Show the deep-link format for importing a subscription"
- "How do I configure fragmentation and domain fronting via the Premium API?"
- "Build an example full Xray config with routing for INCY"
The documentation is bilingual (RU by default, EN as suffixed copies), and llms.txt / GitMCP update automatically whenever the documentation changes.