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Comparison

Handwriting OCR vs pdf-smart-extractor

Handwriting OCR is an MCP server published by Handwriting-OCR. Marketplaces we read that list it: 1 (Docker MCP Catalog). pdf-smart-extractor is a plugin bundle for AI coding tools published by Diego Consolini. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-10-16. 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
MarketplaceHandwriting OCRpdf-smart-extractor
Docker MCP Catalog Listed
Version: sha256:141e2e00e706
Forks (GitHub): 7
Pulls (Docker Hub): 18 861
Stars (Docker Hub): 2
Stars (GitHub): 17
Not marked · First seen
Not listed
Community marketplace diegocconsolini/claudeskillcollection Not listed Listed
Version: 2.2.0
No figure published
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

Handwriting OCR vs pdf-smart-extractor
FactHandwriting OCRpdf-smart-extractor
Marketplaces that list it11
Stars (GitHub) (differs)17No figure on GitHub
Pulls (Docker Hub) (differs)18 861No figure on Docker Hub
Forks (GitHub) (differs)7No figure on GitHub
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/handwriting-ocr)Installs as a plugin bundle
Transport (differs)stdioNot stated
Tools it declares (differs)3Not published
Environment variables it asks for (differs)1, secrets among them: 1Not published
Parts of the bundle (differs)Not a bundle1
Licence (differs)Not statedMIT
Repository (differs)github.com/handwriting-ocr/handwriting-ocr-mcp-servergithub.com/diegocconsolini/claudeskillcollection
Changes in the last 7 days (differs)02
First seen (differs)2026-10-112026-10-16

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

Handwriting OCR

In its own words, on Docker MCP Catalog:

Model Context Protocol (MCP) Server for Handwriting OCR.

pdf-smart-extractor

In its own words, on Community GitHub marketplaces:

Extract and analyze large PDFs (3MB-10MB+) with minimal token usage. Preserves 100% of content while achieving 12-103x token reduction through local extraction, semantic chunking, and intelligent caching. Perfect for technical documentation (NIST, ISO, AWS guides), compliance frameworks, and research papers. One-time extraction, instant querying.

How to run each

Handwriting OCR As a local MCP server: Docker image

Claude Code
claude mcp add --env "API_TOKEN=<YOUR_API_TOKEN>" --transport stdio handwriting-ocr -- docker run -i --rm -e API_TOKEN mcp/handwriting-ocr

Requires: API_TOKEN (secret)

pdf-smart-extractor As a Claude Code plugin

Claude Code
/plugin marketplace add diegocconsolini/claudeskillcollection
/plugin install pdf-smart-extractor@security-compliance-marketplace

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-smart-extractor publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of pdf-smart-extractor publish no settings it asks for, so we do not compare settings.

What it can do: Handwriting OCR · What it can do: pdf-smart-extractor · 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.

Where the data comes from: how the catalog is built