cloud.doner/hypnotic-patterns · v1.0.0 · ai-and-media
Learn Python with Hypnotic Patterns is healthy: it completed an MCP handshake in 909 ms and exposes 6 tools.
Learn Python by building glowing math patterns: lessons, scripts, quiz checks and concepts.
Endpoint: https://hypnoticpatterns.doner.cloud/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 6 |
| Latency | 909 ms |
| Last checked (UTC) | 2026-11-06T09:15:43.194Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-11-06T09:15:43.194Z | Healthy | 909 |
list_patterns | The patterns of the channel: each one simple rule (the golden angle, the Galton board, Turing patterns…), its category, whether it has a Python lesson and at what level, with links to its page and newest video. |
learning_path | The free Python course in its order: each lesson builds one pattern in a short numpy/matplotlib script, from arrays and loops (Beginner) to randomness and recursion (Intermediate) to simulations and grids (Advanced). Each lesson with what it teaches and its link. Optionally only one level. |
get_lesson | One lesson of the course: the question the pattern asks, why it works at three depths, the formula, its script line by line with explanations, exercises with hints, a quiz and flashcards. Exercise answers and quiz keys are left out on purpose: use check_answer once the learner has tried. |
get_code | The whole Python script of a pattern (numpy and matplotlib, under 80 lines), as the lesson and the site show it and as the site’s tests run it, with how to run it, what to change to see something new, and a Google Colab notebook to run it in a browser. |
check_answer | For a quiz question of a lesson: says whether the answer is right, which option is, and why. For an exercise: gives its hint and its reference answer to compare the learner’s attempt with (this server does not grade free text and never runs code); offer the hint first and the reference only after a |
explain_concept | Finds a Python or math idea in the lessons (e.g. "np.roll", "recursion", "golden ratio", "binomial", "leapfrog", "attractor") and gives what the lessons say about it, with the lesson and video that show it. |