llms.txt, so
an LLM can read and search the entire API reference while it writes your automation
code.
| Resource | URL |
|---|---|
| MCP endpoint | https://docs.magicmealkits.com/mcp |
| LLM index | https://docs.magicmealkits.com/llms.txt |
| Full text | https://docs.magicmealkits.com/llms-full.txt |
The docs MCP serves documentation content — it lets the model read and search this
reference. It does not proxy your server. The code the model writes calls your own
deployment’s URL with your own API key.
Add it to your client
Claude Codehttps://docs.magicmealkits.com/mcp.
Then vibe-code
Ask your model something like:
Using the Magic Meal Kits docs, write a script that pulls a YouTube transcript and
posts a summary to my Notion database. My server is https://magic-meal-kits-xxxxx.run.app.
The model reads this reference over MCP, finds the right endpoints, and writes code
that calls your deployment.
Skeleton page. Add concrete recipes (Notion sync, Threads analytics, transcription
pipeline) once the API Reference pages exist.

