Scrapezy vs PDF Text Extractor
Scrapezy is an MCP server published by Scrapezy. Marketplaces we read that list it: 1 (Docker MCP Catalog). PDF Text Extractor is an MCP server published by fernandoguiraud16-coder. 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
| Marketplace | ||
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:7a19e9b36500 Forks (GitHub): 7 Pulls (Docker Hub): 40 884 Stars (Docker Hub): 3 Stars (GitHub): 14 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.0.0 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
| Fact | Scrapezy | PDF Text Extractor |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 14 (better) | 0 (worse) |
| Pulls (Docker Hub) (differs) | 40 884 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 7 (better) | 0 (worse) |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (mcp/scrapezy) | Remote server (mcp.apify.com) |
| Transport (differs) | stdio | Streamable HTTP |
| Tools it declares (differs) | 1 | Not published |
| Environment variables it asks for (differs) | 1, secrets among them: 1 | Not published |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/scrapezy/mcp | github.com/fernandoguiraud16-coder/data-tools |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
| Endpoint at the last check (differs) | no remote endpoint we check | not checked yet |
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
Scrapezy
A Model Context Protocol server for Scrapezy that enables AI models to extract structured data from websites.
PDF Text Extractor
Extract text, pages and metadata from PDFs in bulk, with OCR for scanned files.
How to run each
Scrapezy As a local MCP server: Docker image
claude mcp add --env "SCRAPEZY_API_KEY=<YOUR_SCRAPEZY_API_KEY>" --transport stdio scrapezy -- docker run -i --rm -e SCRAPEZY_API_KEY mcp/scrapezy
Requires: SCRAPEZY_API_KEY (secret)
PDF Text Extractor
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
The marketplaces of PDF Text Extractor publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of PDF Text Extractor publish no settings it asks for, so we do not compare settings.
What it can do: Scrapezy · What it can do: PDF Text Extractor · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. 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.