watch-and-learn vs Orchestrator
watch-and-learn is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑25.
watch-and-learn is a plugin bundle for AI coding tools published by Axel Sooriah. No marketplace we read lists it any more. Orchestrator is an MCP server published by crAK1644. Marketplaces we read that list it: 2 (Official MCP Registry, PyPI (MCP servers)). As of our marketplace pass on 2026-11-11. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |  Orchestrator | |
|---|---|---|
| Community marketplace axel-pm/watch-n-learn | Removed on 2026-10-25 Version: 0.2.0 Forks (GitHub): 0 Stars (GitHub): 9 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.12.0 Downloads/month (PyPI): 6 410 Downloads/week (PyPI): 52 Forks (GitHub): 2 Stars (GitHub): 10 Not marked · First seen |
| PyPI (MCP servers) | Not listed | Listed Version: 0.12.0 Downloads/month (PyPI): 6 410 Downloads/week (PyPI): 52 Forks (GitHub): 2 Stars (GitHub): 10 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | watch-and-learnno longer listed · | Orchestrator |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 2 |
| Stars (GitHub) (differs) | 9 | 10 |
| Forks (GitHub) (differs) | 0 | 2 |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (orchestrator-mcp-server) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | Not published | 2, secrets among them: 0 |
| Parts of the bundle (differs) | 1 | Not a bundle |
| Licence | MIT | MIT |
| Repository (differs) | github.com/axel-pm/watch-n-learn | github.com/crak1644/orchestrator-mcp |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-15 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of watch-and-learn
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
-
Inputs the content of any video into Claude Code prompt / context window as a multimodal bundle of voice transcription and data summary, time synced with keyframes - screenshots…
-
Learning mode for AI coding assistants. The agent teaches and shows code in chat, and you type every line yourself.
-
Stop vibecoding blind. Darce teaches you what the AI just built, concept breakdowns, pattern analysis, and quizzes on your actual code. Three modes: Ship (just code), Understand…
-
AI pair programmer with real-time screen and audio context, powered by VideoDB Capture SDK
-
Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Includes spaced repetition quizzes to reinforce learning. Includes 3…
-
Reusable Codex skills and workflows from feiskyer/codex-settings.
What each says it does
watch-and-learn
Turn a how-to video into a reusable skill for your AI coding agent — watched locally, no API keys.
Orchestrator
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
How to run each
watch-and-learn
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Orchestrator As a local MCP server: PyPI package
claude mcp add --env "ORCHESTRATOR_CONFIG=<YOUR_ORCHESTRATOR_CONFIG>" --env "ORCHESTRATOR_HOST_RUNTIME=<YOUR_ORCHESTRATOR_HOST_RUNTIME>" --transport stdio orchestrator-mcp -- uvx orchestrator-mcp-serverRequires: ORCHESTRATOR_CONFIG, ORCHESTRATOR_HOST_RUNTIME
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
The marketplaces of watch-and-learn publish no settings it asks for, so we do not compare settings.
What it can do: watch-and-learn · What it can do: Orchestrator · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the Python Package Index (pypi.org). Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.