Markdownify vs yt-mem-ai
Markdownify is an MCP server published by zcaceres. Marketplaces we read that list it: 1 (Docker MCP Catalog). yt-mem-ai is a plugin bundle for AI coding tools published by dasein. Marketplaces we read that list it: 1 (Community GitHub marketplaces). 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
| Marketplace |   Markdownify | |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:afa1ab8e1563 Forks (GitHub): 255 Pulls (Docker Hub): 72 694 Stars (Docker Hub): 2 Stars (GitHub): 2 997 Not marked · First seen |
Not listed |
| Community marketplace dasein108/yt-mem-ai | Not listed | Listed Version: 0.1.0 Forks (GitHub): 0 Stars (GitHub): 7 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 | Markdownify | yt-mem-ai |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 2 997 (better) | 7 (worse) |
| Pulls (Docker Hub) (differs) | 72 694 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 255 (better) | 0 (worse) |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/markdownify) | Installs as a plugin bundle |
| Transport (differs) | stdio | Not stated |
| Tools it declares (differs) | 11 | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | Not a bundle | 9 |
| Licence | MIT | MIT |
| Repository (differs) | github.com/zcaceres/markdownify-mcp | github.com/dasein108/yt-mem-ai |
| Changes in the last 7 days (differs) | 0 | 2 |
| First seen (differs) | 2026-10-11 | 2026-10-13 |
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
Markdownify
A Model Context Protocol server for converting almost anything to Markdown.
yt-mem-ai
A local YouTube memory: fetches transcripts (captions, Whisper fallback), keeps them searchable on your machine, and writes summaries, timestamped highlights, Q&A, decks and daily digests. Ships the yt + yt-agent skills and /yt-* commands; no API key.
How to run each
Markdownify As a local MCP server: Docker image
claude mcp add --transport stdio markdownify -- docker run -i --rm mcp/markdownifyyt-mem-ai As a Claude Code plugin
/plugin marketplace add dasein108/yt-mem-ai
/plugin install yt-mem-ai@yt-mem-aiCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of yt-mem-ai publish no list of tools, so we do not compare tools.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: Markdownify · What it can do: yt-mem-ai · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.