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drafted-learn vs Knowledge Forest

drafted-learn is a plugin bundle for AI coding tools published by draftedlabs. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). Knowledge Forest is an MCP server published by znecho9. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-15. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplacedrafted-learnKnowledge Forest
Claude Code: claude-plugins-community Listed
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 1
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.1.1
Forks (GitHub): 0
Stars (GitHub): 0
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

drafted-learn vs Knowledge Forest
Factdrafted-learnKnowledge Forest
Marketplaces that list it11
Stars (GitHub) (differs)1 (better)0 (worse)
Forks (GitHub)00
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleOn your machine (https://github.com/znecho9/knowledge-forest-mcp/releases/download/v0.1.1/knowledge-forest-mcp.mcpb)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Hooks it runs (differs)1Not published
Parts of the bundle (differs)1Not a bundle
Licence (differs)MITNot stated
Repository (differs)github.com/draftedlabs/drafted-learngithub.com/znecho9/knowledge-forest-mcp
Changes in the last 7 days00
First seen2026-10-112026-10-11

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

drafted-learn

In its own words, on Claude Code: claude-plugins-community:

Displays an AI/ML fact in your terminal every time you submit a prompt to Claude. Covers 94 facts across 8 categories — tokenization, transformers, RLHF, agent architecture, training data, ethics, and more — rotating randomly so you learn passively while Claude is thinking. Zero extra time required. Built by Drafted Labs for university students entering the AI field.

Knowledge Forest

In its own words, on Official MCP Registry:

Local-first personal knowledge and learning memory for AI tutors with evidence-gated mastery.

How to run each

drafted-learn As a Claude Code plugin

Claude Code
/plugin marketplace add anthropics/claude-plugins-community
/plugin install drafted-learn@claude-community

Knowledge Forest

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

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

Neither one's marketplaces publish the settings it asks for.

What it can do: drafted-learn · What it can do: Knowledge Forest · Compare two other plugins

Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built